data <- read.csv("Life Expectancy Data.csv")
head(data)## Country Year Status Life.expectancy Adult.Mortality infant.deaths
## 1 Afghanistan 2015 Developing 65.0 263 62
## 2 Afghanistan 2014 Developing 59.9 271 64
## 3 Afghanistan 2013 Developing 59.9 268 66
## 4 Afghanistan 2012 Developing 59.5 272 69
## 5 Afghanistan 2011 Developing 59.2 275 71
## 6 Afghanistan 2010 Developing 58.8 279 74
## Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths
## 1 0.01 71.279624 65 1154 19.1 83
## 2 0.01 73.523582 62 492 18.6 86
## 3 0.01 73.219243 64 430 18.1 89
## 4 0.01 78.184215 67 2787 17.6 93
## 5 0.01 7.097109 68 3013 17.2 97
## 6 0.01 79.679367 66 1989 16.7 102
## Polio Total.expenditure Diphtheria HIV.AIDS GDP Population
## 1 6 8.16 65 0.1 584.25921 33736494
## 2 58 8.18 62 0.1 612.69651 327582
## 3 62 8.13 64 0.1 631.74498 31731688
## 4 67 8.52 67 0.1 669.95900 3696958
## 5 68 7.87 68 0.1 63.53723 2978599
## 6 66 9.20 66 0.1 553.32894 2883167
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 1 17.2 17.3 0.479
## 2 17.5 17.5 0.476
## 3 17.7 17.7 0.470
## 4 17.9 18.0 0.463
## 5 18.2 18.2 0.454
## 6 18.4 18.4 0.448
## Schooling
## 1 10.1
## 2 10.0
## 3 9.9
## 4 9.8
## 5 9.5
## 6 9.2missing_counts <- data.frame(feature = factor(names(data)),
counts=sapply(data, function(x) sum(is.na(x))))
ggplot(missing_counts,
aes(x=counts, y=reorder(feature, -counts), fill=counts)) +
geom_bar(stat="identity") +
ggtitle("Missing Value Counts for each Feature") +
xlab("Missing Count") + ylab("Feature") +
theme(axis.text.x=element_text(angle=20, hjust=1))+
theme(text = element_text(size = 12))+
scale_fill_continuous()
plot(Life.expectancy~Schooling,data=data, main = "Schooling vs. Life Expectancy")
hist(data$Life.expectancy,
xlab = "Life Expectancy",
main = "Distribution of Life Expectancy")
##Filling In Missing Values using imputation
library(missForest)
library(dplyr)
class(data)## [1] "data.frame"Need to Drop Country And Year First (Can add them back later)
columns_to_exclude <- c("Year", "Country")
# Select all columns except the ones to exclude
le <- data %>% dplyr::select(-one_of(columns_to_exclude))Change necessary variables into factors
le$Status <- as.factor(le$Status)The missForest package is specifically designed for imputing missing data in datasets with mixed types of variables (numeric and categorical). It uses a random forest-based imputation method.
imputed_data <- missForest(le)
imputed_data <- imputed_data$ximp##Split Data into Training and Testing
set.seed(123)
train_indices <- sample(seq_len(nrow(imputed_data)), size = 0.7 * nrow(imputed_data))
data_train <- imputed_data[train_indices, ]
data_test <- imputed_data[-train_indices, ]library(corrplot)columns_to_exclude <- c("Year", "Country","Status")
numericcol <- imputed_data %>% dplyr::select(-one_of(columns_to_exclude))## Warning: Unknown columns: `Year`, `Country`M = cor(numericcol)
corrplot(M, method = 'number') # colorful number
#par(mar = c(1, 1, 1, 1)) # Adjust margin to increase space for the plot
# Create a colorful number correlation plot
#corrplot(M, method = 'number', type = 'upper', tl.col = 'black', tl.srt = 45, mar = c(0, 0, 2, 0))##Gabby EDA Explore Relationship Between Adult Mortality and Life Expectancy (Filled by Status) Looking for general trends between immunizations and life expectancy:
data$Measles <- pmin(data$Measles, 1000)
data$Polio <- pmin(data$Polio, 1000)
plot(Life.expectancy~Hepatitis.B,data=data, main = "Hepatitis B Immunization Among 1-Year-Olds (%) vs. Life Expectancy")
plot(Life.expectancy~Measles,data=data, fill = Status, main = "# Reported Measles cases (per 1000) vs. Life Expectancy")## Warning in plot.window(...): "fill" is not a graphical parameter## Warning in plot.xy(xy, type, ...): "fill" is not a graphical parameter## Warning in axis(side = side, at = at, labels = labels, ...): "fill" is not a
## graphical parameter
## Warning in axis(side = side, at = at, labels = labels, ...): "fill" is not a
## graphical parameter## Warning in box(...): "fill" is not a graphical parameter## Warning in title(...): "fill" is not a graphical parameter
plot(Life.expectancy~Polio,data=data, main = "# Reported Polio cases (per 1000) vs. Life Expectancy")
plot(Life.expectancy~Diphtheria,data=data, main = "DTP3 Immunization Among 1-Year-Olds (%) vs. Life Expectancy")
##Emily EDA
# Mortality Group vs. Life Expectancy
# how to plot interaction effects when it's all quantitative variables?
plot(Life.expectancy~Adult.Mortality,data=data, main = "Adult Mortality vs. Life Expectancy")
plot(Life.expectancy~Adult.Mortality,data=data, col = ifelse(data$Status == "Developed", "blue", "red"), main = "Adult Mortality vs. Life Expectancy")
plot(Life.expectancy~Adult.Mortality,data=data, main = "Adult Mortality vs. Life Expectancy (subset)", xlim = c(0, 150))
# a lot of clustered groups in adult mortality
plot(Life.expectancy~infant.deaths,data=data, main = "Infant Deaths vs. Life Expectancy")
plot(Life.expectancy~infant.deaths,data=data, main = "Infant Deaths vs. Life Expectancy (subset)", xlim = c(0,100))
# generally downward slope but more scattered
plot(Life.expectancy~under.five.deaths,data=data, main = "Under 5 Deaths vs. Life Expectancy")
plot(Life.expectancy~under.five.deaths,data=data, main = "Under 5 Deaths vs. Life Expectancy (subset)", xlim = c(0,1000))
# generally downward slope but more scattered
plot(Life.expectancy~HIV.AIDS,data=data, main = "Deaths Caused by HIV/AIDS vs. Life Expectancy")
# countries where income composition = 0
# If the income composition of resources component of the HDI is reported as 0 for a country, it suggests that the country's income is not derived from the specific factors or resources considered in that component of the HDI
adultmortality <- subset(data, Adult.Mortality < 150)
adultmortality## Country Year Status
## 14 Afghanistan 2002 Developing
## 17 Albania 2015 Developing
## 18 Albania 2014 Developing
## 19 Albania 2013 Developing
## 20 Albania 2012 Developing
## 21 Albania 2011 Developing
## 22 Albania 2010 Developing
## 23 Albania 2009 Developing
## 24 Albania 2008 Developing
## 25 Albania 2007 Developing
## 26 Albania 2006 Developing
## 27 Albania 2005 Developing
## 28 Albania 2004 Developing
## 29 Albania 2003 Developing
## 30 Albania 2002 Developing
## 31 Albania 2001 Developing
## 32 Albania 2000 Developing
## 33 Algeria 2015 Developing
## 34 Algeria 2014 Developing
## 35 Algeria 2013 Developing
## 36 Algeria 2012 Developing
## 37 Algeria 2011 Developing
## 38 Algeria 2010 Developing
## 39 Algeria 2009 Developing
## 40 Algeria 2008 Developing
## 41 Algeria 2007 Developing
## 42 Algeria 2006 Developing
## 43 Algeria 2005 Developing
## 44 Algeria 2004 Developing
## 45 Algeria 2003 Developing
## 46 Algeria 2002 Developing
## 47 Algeria 2001 Developing
## 48 Algeria 2000 Developing
## 63 Angola 2001 Developing
## 64 Angola 2000 Developing
## 65 Antigua and Barbuda 2015 Developing
## 66 Antigua and Barbuda 2014 Developing
## 67 Antigua and Barbuda 2013 Developing
## 68 Antigua and Barbuda 2012 Developing
## 69 Antigua and Barbuda 2011 Developing
## 70 Antigua and Barbuda 2010 Developing
## 71 Antigua and Barbuda 2009 Developing
## 72 Antigua and Barbuda 2008 Developing
## 73 Antigua and Barbuda 2007 Developing
## 74 Antigua and Barbuda 2006 Developing
## 75 Antigua and Barbuda 2005 Developing
## 76 Antigua and Barbuda 2004 Developing
## 81 Argentina 2015 Developing
## 82 Argentina 2014 Developing
## 83 Argentina 2013 Developing
## 84 Argentina 2012 Developing
## 85 Argentina 2011 Developing
## 86 Argentina 2010 Developing
## 87 Argentina 2009 Developing
## 88 Argentina 2008 Developing
## 89 Argentina 2007 Developing
## 90 Argentina 2006 Developing
## 91 Argentina 2005 Developing
## 92 Argentina 2004 Developing
## 93 Argentina 2003 Developing
## 94 Argentina 2002 Developing
## 95 Argentina 2001 Developing
## 96 Argentina 2000 Developing
## 97 Armenia 2015 Developing
## 98 Armenia 2014 Developing
## 99 Armenia 2013 Developing
## 100 Armenia 2012 Developing
## 101 Armenia 2011 Developing
## 102 Armenia 2010 Developing
## 103 Armenia 2009 Developing
## 104 Armenia 2008 Developing
## 105 Armenia 2007 Developing
## 106 Armenia 2006 Developing
## 107 Armenia 2005 Developing
## 108 Armenia 2004 Developing
## 109 Armenia 2003 Developing
## 110 Armenia 2002 Developing
## 111 Armenia 2001 Developing
## 112 Armenia 2000 Developing
## 113 Australia 2015 Developed
## 114 Australia 2014 Developed
## 115 Australia 2013 Developed
## 116 Australia 2012 Developed
## 117 Australia 2011 Developed
## 118 Australia 2010 Developed
## 119 Australia 2009 Developed
## 120 Australia 2008 Developed
## 121 Australia 2007 Developed
## 122 Australia 2006 Developed
## 123 Australia 2005 Developed
## 124 Australia 2004 Developed
## 125 Australia 2003 Developed
## 126 Australia 2002 Developed
## 127 Australia 2001 Developed
## 128 Australia 2000 Developed
## 129 Austria 2015 Developed
## 130 Austria 2014 Developed
## 131 Austria 2013 Developed
## 132 Austria 2012 Developed
## 133 Austria 2011 Developed
## 134 Austria 2010 Developed
## 135 Austria 2009 Developed
## 136 Austria 2008 Developed
## 137 Austria 2007 Developed
## 138 Austria 2006 Developed
## 139 Austria 2005 Developed
## 140 Austria 2004 Developed
## 141 Austria 2003 Developed
## 142 Austria 2002 Developed
## 143 Austria 2001 Developed
## 144 Austria 2000 Developed
## 145 Azerbaijan 2015 Developing
## 146 Azerbaijan 2014 Developing
## 147 Azerbaijan 2013 Developing
## 148 Azerbaijan 2012 Developing
## 149 Azerbaijan 2011 Developing
## 150 Azerbaijan 2010 Developing
## 151 Azerbaijan 2009 Developing
## 152 Azerbaijan 2008 Developing
## 153 Azerbaijan 2007 Developing
## 158 Azerbaijan 2002 Developing
## 160 Azerbaijan 2000 Developing
## 161 Bahamas 2015 Developing
## 162 Bahamas 2014 Developing
## 174 Bahamas 2002 Developing
## 177 Bahrain 2015 Developing
## 178 Bahrain 2014 Developing
## 179 Bahrain 2013 Developing
## 180 Bahrain 2012 Developing
## 181 Bahrain 2011 Developing
## 182 Bahrain 2010 Developing
## 183 Bahrain 2009 Developing
## 184 Bahrain 2008 Developing
## 185 Bahrain 2007 Developing
## 186 Bahrain 2006 Developing
## 187 Bahrain 2005 Developing
## 188 Bahrain 2004 Developing
## 189 Bahrain 2003 Developing
## 190 Bahrain 2002 Developing
## 191 Bahrain 2001 Developing
## 192 Bahrain 2000 Developing
## 193 Bangladesh 2015 Developing
## 194 Bangladesh 2014 Developing
## 195 Bangladesh 2013 Developing
## 196 Bangladesh 2012 Developing
## 197 Bangladesh 2011 Developing
## 198 Bangladesh 2010 Developing
## 199 Bangladesh 2009 Developing
## 200 Bangladesh 2008 Developing
## 209 Barbados 2015 Developing
## 210 Barbados 2014 Developing
## 211 Barbados 2013 Developing
## 212 Barbados 2012 Developing
## 213 Barbados 2011 Developing
## 214 Barbados 2010 Developing
## 215 Barbados 2009 Developing
## 216 Barbados 2008 Developing
## 217 Barbados 2007 Developing
## 218 Barbados 2006 Developing
## 219 Barbados 2005 Developing
## 220 Barbados 2004 Developing
## 221 Barbados 2003 Developing
## 222 Barbados 2002 Developing
## 223 Barbados 2001 Developing
## 224 Barbados 2000 Developing
## 227 Belarus 2013 Developing
## 241 Belgium 2015 Developed
## 242 Belgium 2014 Developed
## 243 Belgium 2013 Developed
## 244 Belgium 2012 Developed
## 245 Belgium 2011 Developed
## 246 Belgium 2010 Developed
## 247 Belgium 2009 Developed
## 248 Belgium 2008 Developed
## 249 Belgium 2007 Developed
## 250 Belgium 2006 Developed
## 251 Belgium 2005 Developed
## 252 Belgium 2004 Developed
## 253 Belgium 2003 Developed
## 254 Belgium 2002 Developed
## 255 Belgium 2001 Developed
## 256 Belgium 2000 Developed
## 259 Belize 2013 Developing
## 269 Belize 2003 Developing
## 271 Belize 2001 Developing
## 303 Bhutan 2001 Developing
## 310 Bolivia (Plurinational State of) 2010 Developing
## 311 Bolivia (Plurinational State of) 2009 Developing
## 317 Bolivia (Plurinational State of) 2003 Developing
## 321 Bosnia and Herzegovina 2015 Developing
## 322 Bosnia and Herzegovina 2014 Developing
## 323 Bosnia and Herzegovina 2013 Developing
## 324 Bosnia and Herzegovina 2012 Developing
## 325 Bosnia and Herzegovina 2011 Developing
## 326 Bosnia and Herzegovina 2010 Developing
## 327 Bosnia and Herzegovina 2009 Developing
## 328 Bosnia and Herzegovina 2008 Developing
## 329 Bosnia and Herzegovina 2007 Developing
## 330 Bosnia and Herzegovina 2006 Developing
## 331 Bosnia and Herzegovina 2005 Developing
## 332 Bosnia and Herzegovina 2004 Developing
## 333 Bosnia and Herzegovina 2003 Developing
## 334 Bosnia and Herzegovina 2002 Developing
## 335 Bosnia and Herzegovina 2001 Developing
## 336 Bosnia and Herzegovina 2000 Developing
## 340 Botswana 2012 Developing
## 353 Brazil 2015 Developing
## 354 Brazil 2014 Developing
## 355 Brazil 2013 Developing
## 356 Brazil 2012 Developing
## 364 Brazil 2004 Developing
## 369 Brunei Darussalam 2015 Developing
## 370 Brunei Darussalam 2014 Developing
## 371 Brunei Darussalam 2013 Developing
## 372 Brunei Darussalam 2012 Developing
## 373 Brunei Darussalam 2011 Developing
## 374 Brunei Darussalam 2010 Developing
## 375 Brunei Darussalam 2009 Developing
## 376 Brunei Darussalam 2008 Developing
## 377 Brunei Darussalam 2007 Developing
## 378 Brunei Darussalam 2006 Developing
## 379 Brunei Darussalam 2005 Developing
## 380 Brunei Darussalam 2004 Developing
## 381 Brunei Darussalam 2003 Developing
## 382 Brunei Darussalam 2002 Developing
## 383 Brunei Darussalam 2001 Developing
## 384 Brunei Darussalam 2000 Developing
## 385 Bulgaria 2015 Developed
## 386 Bulgaria 2014 Developed
## 387 Bulgaria 2013 Developed
## 388 Bulgaria 2012 Developed
## 389 Bulgaria 2011 Developed
## 390 Bulgaria 2010 Developed
## 395 Bulgaria 2005 Developed
## 399 Bulgaria 2001 Developed
## 401 Burkina Faso 2015 Developing
## 403 Burkina Faso 2013 Developing
## 410 Burkina Faso 2006 Developing
## 419 Burundi 2013 Developing
## 422 Burundi 2010 Developing
## 424 Burundi 2008 Developing
## 434 Côte d'Ivoire 2014 Developing
## 449 Cabo Verde 2015 Developing
## 450 Cabo Verde 2014 Developing
## 451 Cabo Verde 2013 Developing
## 452 Cabo Verde 2012 Developing
## 453 Cabo Verde 2011 Developing
## 454 Cabo Verde 2010 Developing
## 455 Cabo Verde 2009 Developing
## 456 Cabo Verde 2008 Developing
## 457 Cabo Verde 2007 Developing
## 458 Cabo Verde 2006 Developing
## 459 Cabo Verde 2005 Developing
## 460 Cabo Verde 2004 Developing
## 461 Cabo Verde 2003 Developing
## 462 Cabo Verde 2002 Developing
## 469 Cambodia 2011 Developing
## 473 Cambodia 2007 Developing
## 486 Cameroon 2010 Developing
## 491 Cameroon 2005 Developing
## 494 Cameroon 2002 Developing
## 495 Cameroon 2001 Developing
## 497 Canada 2015 Developing
## 498 Canada 2014 Developing
## 499 Canada 2013 Developing
## 500 Canada 2012 Developing
## 501 Canada 2011 Developing
## 502 Canada 2010 Developing
## 503 Canada 2009 Developing
## 504 Canada 2008 Developing
## 505 Canada 2007 Developing
## 506 Canada 2006 Developing
## 507 Canada 2005 Developing
## 508 Canada 2004 Developing
## 509 Canada 2003 Developing
## 510 Canada 2002 Developing
## 511 Canada 2001 Developing
## 512 Canada 2000 Developing
## 522 Central African Republic 2006 Developing
## 525 Central African Republic 2003 Developing
## 526 Central African Republic 2002 Developing
## 527 Central African Republic 2001 Developing
## 528 Central African Republic 2000 Developing
## 535 Chad 2009 Developing
## 539 Chad 2005 Developing
## 540 Chad 2004 Developing
## 541 Chad 2003 Developing
## 542 Chad 2002 Developing
## 543 Chad 2001 Developing
## 544 Chad 2000 Developing
## 545 Chile 2015 Developing
## 546 Chile 2014 Developing
## 547 Chile 2013 Developing
## 548 Chile 2012 Developing
## 549 Chile 2011 Developing
## 550 Chile 2010 Developing
## 551 Chile 2009 Developing
## 552 Chile 2008 Developing
## 553 Chile 2007 Developing
## 554 Chile 2006 Developing
## 555 Chile 2005 Developing
## 556 Chile 2004 Developing
## 557 Chile 2003 Developing
## 558 Chile 2002 Developing
## 559 Chile 2001 Developing
## 560 Chile 2000 Developing
## 561 China 2015 Developing
## 562 China 2014 Developing
## 563 China 2013 Developing
## 564 China 2012 Developing
## 565 China 2011 Developing
## 566 China 2010 Developing
## 567 China 2009 Developing
## 568 China 2008 Developing
## 569 China 2007 Developing
## 570 China 2006 Developing
## 571 China 2005 Developing
## 572 China 2004 Developing
## 573 China 2003 Developing
## 574 China 2002 Developing
## 575 China 2001 Developing
## 576 China 2000 Developing
## 577 Colombia 2015 Developing
## 578 Colombia 2014 Developing
## 579 Colombia 2013 Developing
## 580 Colombia 2012 Developing
## 581 Colombia 2011 Developing
## 582 Colombia 2010 Developing
## 583 Colombia 2009 Developing
## 584 Colombia 2008 Developing
## 585 Colombia 2007 Developing
## 586 Colombia 2006 Developing
## 587 Colombia 2005 Developing
## 588 Colombia 2004 Developing
## 589 Colombia 2003 Developing
## 594 Comoros 2014 Developing
## 620 Congo 2004 Developing
## 626 Costa Rica 2015 Developing
## 627 Costa Rica 2014 Developing
## 628 Costa Rica 2013 Developing
## 629 Costa Rica 2012 Developing
## 630 Costa Rica 2011 Developing
## 631 Costa Rica 2010 Developing
## 632 Costa Rica 2009 Developing
## 633 Costa Rica 2008 Developing
## 634 Costa Rica 2007 Developing
## 635 Costa Rica 2006 Developing
## 636 Costa Rica 2005 Developing
## 637 Costa Rica 2004 Developing
## 638 Costa Rica 2003 Developing
## 639 Costa Rica 2002 Developing
## 640 Costa Rica 2001 Developing
## 641 Costa Rica 2000 Developing
## 642 Croatia 2015 Developed
## 643 Croatia 2014 Developed
## 644 Croatia 2013 Developed
## 645 Croatia 2012 Developed
## 646 Croatia 2011 Developed
## 647 Croatia 2010 Developed
## 648 Croatia 2009 Developed
## 649 Croatia 2008 Developed
## 650 Croatia 2007 Developed
## 651 Croatia 2006 Developed
## 652 Croatia 2005 Developed
## 653 Croatia 2004 Developed
## 654 Croatia 2003 Developed
## 655 Croatia 2002 Developed
## 656 Croatia 2001 Developed
## 657 Croatia 2000 Developed
## 658 Cuba 2015 Developing
## 659 Cuba 2014 Developing
## 660 Cuba 2013 Developing
## 661 Cuba 2012 Developing
## 662 Cuba 2011 Developing
## 663 Cuba 2010 Developing
## 664 Cuba 2009 Developing
## 665 Cuba 2008 Developing
## 666 Cuba 2007 Developing
## 667 Cuba 2006 Developing
## 668 Cuba 2005 Developing
## 669 Cuba 2004 Developing
## 670 Cuba 2003 Developing
## 671 Cuba 2002 Developing
## 672 Cuba 2001 Developing
## 673 Cuba 2000 Developing
## 674 Cyprus 2015 Developed
## 675 Cyprus 2014 Developed
## 676 Cyprus 2013 Developed
## 677 Cyprus 2012 Developed
## 678 Cyprus 2011 Developed
## 679 Cyprus 2010 Developed
## 680 Cyprus 2009 Developed
## 681 Cyprus 2008 Developed
## 682 Cyprus 2007 Developed
## 683 Cyprus 2006 Developed
## 684 Cyprus 2005 Developed
## 685 Cyprus 2004 Developed
## 686 Cyprus 2003 Developed
## 687 Cyprus 2002 Developed
## 688 Cyprus 2001 Developed
## 689 Cyprus 2000 Developed
## 690 Czechia 2015 Developed
## 691 Czechia 2014 Developed
## 692 Czechia 2013 Developed
## 693 Czechia 2012 Developed
## 694 Czechia 2011 Developed
## 695 Czechia 2010 Developed
## 696 Czechia 2009 Developed
## 697 Czechia 2008 Developed
## 698 Czechia 2007 Developed
## 699 Czechia 2006 Developed
## 700 Czechia 2005 Developed
## 701 Czechia 2004 Developed
## 702 Czechia 2003 Developed
## 703 Czechia 2002 Developed
## 704 Czechia 2001 Developed
## 705 Czechia 2000 Developed
## 706 Democratic People's Republic of Korea 2015 Developing
## 707 Democratic People's Republic of Korea 2014 Developing
## 708 Democratic People's Republic of Korea 2013 Developing
## 709 Democratic People's Republic of Korea 2012 Developing
## 731 Democratic Republic of the Congo 2006 Developing
## 736 Democratic Republic of the Congo 2001 Developing
## 738 Denmark 2015 Developed
## 739 Denmark 2014 Developed
## 740 Denmark 2013 Developed
## 741 Denmark 2012 Developed
## 742 Denmark 2011 Developed
## 743 Denmark 2010 Developed
## 744 Denmark 2009 Developed
## 745 Denmark 2008 Developed
## 746 Denmark 2007 Developed
## 747 Denmark 2006 Developed
## 748 Denmark 2005 Developed
## 749 Denmark 2004 Developed
## 750 Denmark 2003 Developed
## 751 Denmark 2002 Developed
## 752 Denmark 2001 Developed
## 753 Denmark 2000 Developed
## 763 Djibouti 2006 Developing
## 775 Dominican Republic 2011 Developing
## 781 Dominican Republic 2005 Developing
## 783 Dominican Republic 2003 Developing
## 787 Ecuador 2015 Developing
## 788 Ecuador 2014 Developing
## 789 Ecuador 2013 Developing
## 790 Ecuador 2012 Developing
## 791 Ecuador 2011 Developing
## 792 Ecuador 2010 Developing
## 793 Ecuador 2009 Developing
## 794 Ecuador 2008 Developing
## 795 Ecuador 2007 Developing
## 796 Ecuador 2006 Developing
## 798 Ecuador 2004 Developing
## 825 El Salvador 2009 Developing
## 827 El Salvador 2007 Developing
## 831 El Salvador 2003 Developing
## 832 El Salvador 2002 Developing
## 835 Equatorial Guinea 2015 Developing
## 836 Equatorial Guinea 2014 Developing
## 841 Equatorial Guinea 2009 Developing
## 861 Eritrea 2005 Developing
## 867 Estonia 2015 Developing
## 868 Estonia 2014 Developing
## 869 Estonia 2013 Developing
## 870 Estonia 2012 Developing
## 871 Estonia 2011 Developing
## 872 Estonia 2010 Developing
## 891 Ethiopia 2007 Developing
## 900 Fiji 2014 Developing
## 904 Fiji 2010 Developing
## 905 Fiji 2009 Developing
## 906 Fiji 2008 Developing
## 907 Fiji 2007 Developing
## 911 Fiji 2003 Developing
## 912 Fiji 2002 Developing
## 915 Finland 2015 Developing
## 916 Finland 2014 Developing
## 917 Finland 2013 Developing
## 918 Finland 2012 Developing
## 919 Finland 2011 Developing
## 920 Finland 2010 Developing
## 921 Finland 2009 Developing
## 922 Finland 2008 Developing
## 923 Finland 2007 Developing
## 924 Finland 2006 Developing
## 925 Finland 2005 Developing
## 926 Finland 2004 Developing
## 927 Finland 2003 Developing
## 928 Finland 2002 Developing
## 929 Finland 2001 Developing
## 930 Finland 2000 Developing
## 931 France 2015 Developing
## 932 France 2014 Developing
## 933 France 2013 Developing
## 934 France 2012 Developing
## 935 France 2011 Developing
## 936 France 2010 Developing
## 937 France 2009 Developing
## 938 France 2008 Developing
## 939 France 2007 Developing
## 940 France 2006 Developing
## 941 France 2005 Developing
## 942 France 2004 Developing
## 943 France 2003 Developing
## 944 France 2002 Developing
## 945 France 2001 Developing
## 946 France 2000 Developing
## 953 Gabon 2009 Developing
## 957 Gabon 2005 Developing
## 959 Gabon 2003 Developing
## 961 Gabon 2001 Developing
## 977 Gambia 2001 Developing
## 978 Gambia 2000 Developing
## 979 Georgia 2015 Developing
## 980 Georgia 2014 Developing
## 981 Georgia 2013 Developing
## 982 Georgia 2012 Developing
## 983 Georgia 2011 Developing
## 984 Georgia 2010 Developing
## 985 Georgia 2009 Developing
## 986 Georgia 2008 Developing
## 987 Georgia 2007 Developing
## 988 Georgia 2006 Developing
## 989 Georgia 2005 Developing
## 990 Georgia 2004 Developing
## 991 Georgia 2003 Developing
## 992 Georgia 2002 Developing
## 993 Georgia 2001 Developing
## 994 Georgia 2000 Developing
## 995 Germany 2015 Developed
## 996 Germany 2014 Developed
## 997 Germany 2013 Developed
## 998 Germany 2012 Developed
## 999 Germany 2011 Developed
## 1000 Germany 2010 Developed
## 1001 Germany 2009 Developed
## 1002 Germany 2008 Developed
## 1003 Germany 2007 Developed
## 1004 Germany 2006 Developed
## 1005 Germany 2005 Developed
## 1006 Germany 2004 Developed
## 1007 Germany 2003 Developed
## 1008 Germany 2002 Developed
## 1009 Germany 2001 Developed
## 1010 Germany 2000 Developed
## 1019 Ghana 2007 Developing
## 1022 Ghana 2004 Developing
## 1023 Ghana 2003 Developing
## 1024 Ghana 2002 Developing
## 1025 Ghana 2001 Developing
## 1026 Ghana 2000 Developing
## 1027 Greece 2015 Developing
## 1028 Greece 2014 Developing
## 1029 Greece 2013 Developing
## 1030 Greece 2012 Developing
## 1031 Greece 2011 Developing
## 1032 Greece 2010 Developing
## 1033 Greece 2009 Developing
## 1034 Greece 2008 Developing
## 1035 Greece 2007 Developing
## 1036 Greece 2006 Developing
## 1037 Greece 2005 Developing
## 1038 Greece 2004 Developing
## 1039 Greece 2003 Developing
## 1040 Greece 2002 Developing
## 1041 Greece 2001 Developing
## 1042 Greece 2000 Developing
## 1043 Grenada 2015 Developing
## 1044 Grenada 2014 Developing
## 1045 Grenada 2013 Developing
## 1046 Grenada 2012 Developing
## 1047 Grenada 2011 Developing
## 1066 Guatemala 2008 Developing
## 1068 Guatemala 2006 Developing
## 1069 Guatemala 2005 Developing
## 1070 Guatemala 2004 Developing
## 1071 Guatemala 2003 Developing
## 1072 Guatemala 2002 Developing
## 1079 Guinea 2011 Developing
## 1082 Guinea 2008 Developing
## 1083 Guinea 2007 Developing
## 1099 Guinea-Bissau 2007 Developing
## 1100 Guinea-Bissau 2006 Developing
## 1101 Guinea-Bissau 2005 Developing
## 1102 Guinea-Bissau 2004 Developing
## 1103 Guinea-Bissau 2003 Developing
## 1104 Guinea-Bissau 2002 Developing
## 1105 Guinea-Bissau 2001 Developing
## 1106 Guinea-Bissau 2000 Developing
## 1110 Guyana 2012 Developing
## 1116 Guyana 2006 Developing
## 1123 Haiti 2015 Developing
## 1132 Haiti 2006 Developing
## 1133 Haiti 2005 Developing
## 1134 Haiti 2004 Developing
## 1135 Haiti 2003 Developing
## 1136 Haiti 2002 Developing
## 1137 Haiti 2001 Developing
## 1138 Haiti 2000 Developing
## 1139 Honduras 2015 Developing
## 1140 Honduras 2014 Developing
## 1141 Honduras 2013 Developing
## 1147 Honduras 2007 Developing
## 1155 Hungary 2015 Developed
## 1156 Hungary 2014 Developed
## 1157 Hungary 2013 Developed
## 1158 Hungary 2012 Developed
## 1159 Hungary 2011 Developed
## 1166 Hungary 2004 Developed
## 1171 Iceland 2015 Developed
## 1172 Iceland 2014 Developed
## 1173 Iceland 2013 Developed
## 1174 Iceland 2012 Developed
## 1175 Iceland 2011 Developed
## 1176 Iceland 2010 Developed
## 1177 Iceland 2009 Developed
## 1178 Iceland 2008 Developed
## 1179 Iceland 2007 Developed
## 1180 Iceland 2006 Developed
## 1181 Iceland 2005 Developed
## 1182 Iceland 2004 Developed
## 1183 Iceland 2003 Developed
## 1184 Iceland 2002 Developed
## 1185 Iceland 2001 Developed
## 1186 Iceland 2000 Developed
## 1190 India 2012 Developing
## 1193 India 2009 Developing
## 1194 India 2008 Developing
## 1195 India 2007 Developing
## 1196 India 2006 Developing
## 1211 Indonesia 2007 Developing
## 1213 Indonesia 2005 Developing
## 1219 Iran (Islamic Republic of) 2015 Developing
## 1220 Iran (Islamic Republic of) 2014 Developing
## 1221 Iran (Islamic Republic of) 2013 Developing
## 1222 Iran (Islamic Republic of) 2012 Developing
## 1223 Iran (Islamic Republic of) 2011 Developing
## 1224 Iran (Islamic Republic of) 2010 Developing
## 1225 Iran (Islamic Republic of) 2009 Developing
## 1226 Iran (Islamic Republic of) 2008 Developing
## 1227 Iran (Islamic Republic of) 2007 Developing
## 1228 Iran (Islamic Republic of) 2006 Developing
## 1229 Iran (Islamic Republic of) 2005 Developing
## 1230 Iran (Islamic Republic of) 2004 Developing
## 1232 Iran (Islamic Republic of) 2002 Developing
## 1233 Iran (Islamic Republic of) 2001 Developing
## 1234 Iran (Islamic Republic of) 2000 Developing
## 1237 Iraq 2013 Developing
## 1238 Iraq 2012 Developing
## 1239 Iraq 2011 Developing
## 1240 Iraq 2010 Developing
## 1241 Iraq 2009 Developing
## 1245 Iraq 2005 Developing
## 1246 Iraq 2004 Developing
## 1248 Iraq 2002 Developing
## 1249 Iraq 2001 Developing
## 1250 Iraq 2000 Developing
## 1251 Ireland 2015 Developed
## 1252 Ireland 2014 Developed
## 1253 Ireland 2013 Developed
## 1254 Ireland 2012 Developed
## 1255 Ireland 2011 Developed
## 1256 Ireland 2010 Developed
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## 1267 Israel 2015 Developing
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## 1283 Italy 2015 Developed
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## 1299 Jamaica 2015 Developing
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## 1315 Japan 2015 Developed
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## 1340 Jordan 2006 Developing
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## 1348 Kazakhstan 2014 Developing
## 1349 Kazakhstan 2013 Developing
## 1380 Kiribati 2014 Developing
## 1381 Kiribati 2013 Developing
## 1382 Kiribati 2012 Developing
## 1383 Kiribati 2011 Developing
## 1384 Kiribati 2010 Developing
## 1385 Kiribati 2009 Developing
## 1386 Kiribati 2008 Developing
## 1395 Kuwait 2015 Developing
## 1396 Kuwait 2014 Developing
## 1397 Kuwait 2013 Developing
## 1398 Kuwait 2012 Developing
## 1399 Kuwait 2011 Developing
## 1400 Kuwait 2010 Developing
## 1401 Kuwait 2009 Developing
## 1402 Kuwait 2008 Developing
## 1403 Kuwait 2007 Developing
## 1404 Kuwait 2006 Developing
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## 1407 Kuwait 2003 Developing
## 1408 Kuwait 2002 Developing
## 1409 Kuwait 2001 Developing
## 1410 Kuwait 2000 Developing
## 1412 Kyrgyzstan 2014 Developing
## 1414 Kyrgyzstan 2012 Developing
## 1417 Kyrgyzstan 2009 Developing
## 1429 Lao People's Democratic Republic 2013 Developing
## 1430 Lao People's Democratic Republic 2012 Developing
## 1436 Lao People's Democratic Republic 2006 Developing
## 1448 Latvia 2010 Developed
## 1454 Latvia 2004 Developed
## 1455 Latvia 2003 Developed
## 1459 Lebanon 2015 Developing
## 1460 Lebanon 2014 Developing
## 1461 Lebanon 2013 Developing
## 1462 Lebanon 2012 Developing
## 1463 Lebanon 2011 Developing
## 1464 Lebanon 2010 Developing
## 1465 Lebanon 2009 Developing
## 1466 Lebanon 2008 Developing
## 1467 Lebanon 2007 Developing
## 1468 Lebanon 2006 Developing
## 1469 Lebanon 2005 Developing
## 1470 Lebanon 2004 Developing
## 1471 Lebanon 2003 Developing
## 1472 Lebanon 2002 Developing
## 1473 Lebanon 2001 Developing
## 1474 Lebanon 2000 Developing
## 1479 Lesotho 2011 Developing
## 1500 Liberia 2006 Developing
## 1503 Liberia 2003 Developing
## 1506 Liberia 2000 Developing
## 1507 Libya 2015 Developing
## 1508 Libya 2014 Developing
## 1509 Libya 2013 Developing
## 1510 Libya 2012 Developing
## 1512 Libya 2010 Developing
## 1513 Libya 2009 Developing
## 1514 Libya 2008 Developing
## 1515 Libya 2007 Developing
## 1516 Libya 2006 Developing
## 1517 Libya 2005 Developing
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## 1519 Libya 2003 Developing
## 1520 Libya 2002 Developing
## 1521 Libya 2001 Developing
## 1522 Libya 2000 Developing
## 1527 Lithuania 2011 Developed
## 1531 Lithuania 2007 Developed
## 1534 Lithuania 2004 Developed
## 1535 Lithuania 2003 Developed
## 1536 Lithuania 2002 Developed
## 1537 Lithuania 2001 Developed
## 1538 Lithuania 2000 Developed
## 1539 Luxembourg 2015 Developed
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## 1543 Luxembourg 2011 Developed
## 1544 Luxembourg 2010 Developed
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## 1555 Madagascar 2015 Developing
## 1557 Madagascar 2013 Developing
## 1574 Malawi 2012 Developing
## 1581 Malawi 2005 Developing
## 1584 Malawi 2002 Developing
## 1587 Malaysia 2015 Developing
## 1588 Malaysia 2014 Developing
## 1589 Malaysia 2013 Developing
## 1590 Malaysia 2012 Developing
## 1591 Malaysia 2011 Developing
## 1592 Malaysia 2010 Developing
## 1593 Malaysia 2009 Developing
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## 1600 Malaysia 2002 Developing
## 1601 Malaysia 2001 Developing
## 1602 Malaysia 2000 Developing
## 1603 Maldives 2015 Developing
## 1604 Maldives 2014 Developing
## 1605 Maldives 2013 Developing
## 1606 Maldives 2012 Developing
## 1607 Maldives 2011 Developing
## 1608 Maldives 2010 Developing
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## 1622 Mali 2012 Developing
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## 1640 Malta 2010 Developed
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## 1652 Mauritania 2015 Developing
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## 1655 Mauritania 2012 Developing
## 1667 Mauritania 2000 Developing
## 1668 Mauritius 2015 Developing
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## 1670 Mauritius 2013 Developing
## 1684 Mexico 2015 Developing
## 1685 Mexico 2014 Developing
## 1686 Mexico 2013 Developing
## 1687 Mexico 2012 Developing
## 1688 Mexico 2011 Developing
## 1689 Mexico 2010 Developing
## 1690 Mexico 2009 Developing
## 1691 Mexico 2008 Developing
## 1692 Mexico 2007 Developing
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## 1695 Mexico 2004 Developing
## 1696 Mexico 2003 Developing
## 1697 Mexico 2002 Developing
## 1698 Mexico 2001 Developing
## 1699 Mexico 2000 Developing
## 1712 Micronesia (Federated States of) 2003 Developing
## 1713 Micronesia (Federated States of) 2002 Developing
## 1722 Mongolia 2010 Developing
## 1725 Mongolia 2007 Developing
## 1733 Montenegro 2015 Developing
## 1734 Montenegro 2014 Developing
## 1735 Montenegro 2013 Developing
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## 1737 Montenegro 2011 Developing
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## 1749 Morocco 2015 Developing
## 1750 Morocco 2014 Developing
## 1751 Morocco 2013 Developing
## 1752 Morocco 2012 Developing
## 1753 Morocco 2011 Developing
## 1754 Morocco 2010 Developing
## 1755 Morocco 2009 Developing
## 1756 Morocco 2008 Developing
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## 1767 Mozambique 2013 Developing
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## 1769 Mozambique 2011 Developing
## 1770 Mozambique 2010 Developing
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## 1782 Myanmar 2014 Developing
## 1783 Myanmar 2013 Developing
## 1784 Myanmar 2012 Developing
## 1785 Myanmar 2011 Developing
## 1786 Myanmar 2010 Developing
## 1790 Myanmar 2006 Developing
## 1803 Namibia 2009 Developing
## 1812 Namibia 2000 Developing
## 1823 Nepal 2006 Developing
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## 1830 Netherlands 2015 Developed
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## 1840 Netherlands 2005 Developed
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## 1846 New Zealand 2015 Developed
## 1847 New Zealand 2014 Developed
## 1848 New Zealand 2013 Developed
## 1849 New Zealand 2012 Developed
## 1850 New Zealand 2011 Developed
## 1851 New Zealand 2010 Developed
## 1852 New Zealand 2009 Developed
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## 1860 New Zealand 2001 Developed
## 1861 New Zealand 2000 Developed
## 1862 Nicaragua 2015 Developing
## 1863 Nicaragua 2014 Developing
## 1866 Nicaragua 2011 Developing
## 1871 Nicaragua 2006 Developing
## 1878 Niger 2015 Developing
## 1890 Niger 2003 Developing
## 1904 Nigeria 2005 Developing
## 1905 Nigeria 2004 Developing
## 1906 Nigeria 2003 Developing
## 1907 Nigeria 2002 Developing
## 1908 Nigeria 2001 Developing
## 1909 Nigeria 2000 Developing
## 1911 Norway 2015 Developed
## 1912 Norway 2014 Developed
## 1913 Norway 2013 Developed
## 1914 Norway 2012 Developed
## 1915 Norway 2011 Developed
## 1916 Norway 2010 Developed
## 1917 Norway 2009 Developed
## 1918 Norway 2008 Developed
## 1919 Norway 2007 Developed
## 1920 Norway 2006 Developed
## 1921 Norway 2005 Developed
## 1922 Norway 2004 Developed
## 1923 Norway 2003 Developed
## 1924 Norway 2002 Developed
## 1925 Norway 2001 Developed
## 1926 Norway 2000 Developed
## 1927 Oman 2015 Developing
## 1928 Oman 2014 Developing
## 1929 Oman 2013 Developing
## 1930 Oman 2012 Developing
## 1931 Oman 2011 Developing
## 1932 Oman 2010 Developing
## 1933 Oman 2009 Developing
## 1934 Oman 2008 Developing
## 1935 Oman 2007 Developing
## 1936 Oman 2006 Developing
## 1937 Oman 2005 Developing
## 1938 Oman 2004 Developing
## 1939 Oman 2003 Developing
## 1940 Oman 2002 Developing
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## 1942 Oman 2000 Developing
## 1953 Pakistan 2005 Developing
## 1958 Pakistan 2000 Developing
## 1960 Panama 2015 Developing
## 1961 Panama 2014 Developing
## 1962 Panama 2013 Developing
## 1963 Panama 2012 Developing
## 1964 Panama 2011 Developing
## 1965 Panama 2010 Developing
## 1966 Panama 2009 Developing
## 1967 Panama 2008 Developing
## 1968 Panama 2007 Developing
## 1969 Panama 2006 Developing
## 1970 Panama 2005 Developing
## 1971 Panama 2004 Developing
## 1972 Panama 2003 Developing
## 1973 Panama 2002 Developing
## 1974 Panama 2001 Developing
## 1975 Panama 2000 Developing
## 1983 Papua New Guinea 2008 Developing
## 1986 Papua New Guinea 2005 Developing
## 1992 Paraguay 2015 Developing
## 1993 Paraguay 2014 Developing
## 1994 Paraguay 2013 Developing
## 1995 Paraguay 2012 Developing
## 1996 Paraguay 2011 Developing
## 2006 Paraguay 2001 Developing
## 2008 Peru 2015 Developing
## 2009 Peru 2014 Developing
## 2010 Peru 2013 Developing
## 2011 Peru 2012 Developing
## 2012 Peru 2011 Developing
## 2013 Peru 2010 Developing
## 2014 Peru 2009 Developing
## 2015 Peru 2008 Developing
## 2016 Peru 2007 Developing
## 2017 Peru 2006 Developing
## 2018 Peru 2005 Developing
## 2021 Peru 2002 Developing
## 2022 Peru 2001 Developing
## 2040 Poland 2015 Developed
## 2041 Poland 2014 Developed
## 2042 Poland 2013 Developed
## 2043 Poland 2012 Developed
## 2044 Poland 2011 Developed
## 2045 Poland 2010 Developed
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## 2054 Poland 2001 Developed
## 2056 Portugal 2015 Developed
## 2057 Portugal 2014 Developed
## 2058 Portugal 2013 Developed
## 2059 Portugal 2012 Developed
## 2060 Portugal 2011 Developed
## 2061 Portugal 2010 Developed
## 2062 Portugal 2009 Developed
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## 2069 Portugal 2002 Developed
## 2070 Portugal 2001 Developed
## 2071 Portugal 2000 Developed
## 2072 Qatar 2015 Developing
## 2073 Qatar 2014 Developing
## 2074 Qatar 2013 Developing
## 2075 Qatar 2012 Developing
## 2076 Qatar 2011 Developing
## 2077 Qatar 2010 Developing
## 2078 Qatar 2009 Developing
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## 2080 Qatar 2007 Developing
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## 2087 Qatar 2000 Developing
## 2088 Republic of Korea 2015 Developing
## 2089 Republic of Korea 2014 Developing
## 2090 Republic of Korea 2013 Developing
## 2091 Republic of Korea 2012 Developing
## 2092 Republic of Korea 2011 Developing
## 2093 Republic of Korea 2010 Developing
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## 2100 Republic of Korea 2003 Developing
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## 2120 Romania 2015 Developed
## 2121 Romania 2014 Developed
## 2122 Romania 2013 Developed
## 2123 Romania 2012 Developed
## 2124 Romania 2011 Developed
## 2145 Russian Federation 2006 Developing
## 2150 Russian Federation 2001 Developing
## 2151 Russian Federation 2000 Developing
## 2153 Rwanda 2014 Developing
## 2157 Rwanda 2010 Developing
## 2162 Rwanda 2005 Developing
## 2164 Rwanda 2003 Developing
## 2169 Saint Lucia 2015 Developing
## 2170 Saint Lucia 2014 Developing
## 2171 Saint Lucia 2013 Developing
## 2172 Saint Lucia 2012 Developing
## 2173 Saint Lucia 2011 Developing
## 2174 Saint Lucia 2010 Developing
## 2175 Saint Lucia 2009 Developing
## 2176 Saint Lucia 2008 Developing
## 2179 Saint Lucia 2005 Developing
## 2189 Saint Vincent and the Grenadines 2011 Developing
## 2193 Saint Vincent and the Grenadines 2007 Developing
## 2201 Samoa 2015 Developing
## 2202 Samoa 2014 Developing
## 2203 Samoa 2013 Developing
## 2204 Samoa 2012 Developing
## 2205 Samoa 2011 Developing
## 2206 Samoa 2010 Developing
## 2208 Samoa 2008 Developing
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## 2211 Samoa 2005 Developing
## 2216 Samoa 2000 Developing
## 2218 Sao Tome and Principe 2015 Developing
## 2223 Sao Tome and Principe 2010 Developing
## 2224 Sao Tome and Principe 2009 Developing
## 2227 Sao Tome and Principe 2006 Developing
## 2234 Saudi Arabia 2015 Developing
## 2235 Saudi Arabia 2014 Developing
## 2236 Saudi Arabia 2013 Developing
## 2237 Saudi Arabia 2012 Developing
## 2238 Saudi Arabia 2011 Developing
## 2239 Saudi Arabia 2010 Developing
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## 2253 Senegal 2012 Developing
## 2254 Senegal 2011 Developing
## 2258 Senegal 2007 Developing
## 2265 Senegal 2000 Developing
## 2266 Serbia 2015 Developing
## 2267 Serbia 2014 Developing
## 2268 Serbia 2013 Developing
## 2269 Serbia 2012 Developing
## 2270 Serbia 2011 Developing
## 2271 Serbia 2010 Developing
## 2272 Serbia 2009 Developing
## 2273 Serbia 2008 Developing
## 2274 Serbia 2007 Developing
## 2275 Serbia 2006 Developing
## 2276 Serbia 2005 Developing
## 2277 Serbia 2004 Developing
## 2278 Serbia 2003 Developing
## 2279 Serbia 2002 Developing
## 2280 Serbia 2001 Developing
## 2281 Serbia 2000 Developing
## 2283 Seychelles 2014 Developing
## 2287 Seychelles 2010 Developing
## 2300 Sierra Leone 2013 Developing
## 2306 Sierra Leone 2007 Developing
## 2308 Sierra Leone 2005 Developing
## 2310 Sierra Leone 2003 Developing
## 2314 Singapore 2015 Developed
## 2315 Singapore 2014 Developed
## 2316 Singapore 2013 Developed
## 2317 Singapore 2012 Developed
## 2318 Singapore 2011 Developed
## 2319 Singapore 2010 Developed
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## 2330 Slovakia 2015 Developed
## 2331 Slovakia 2014 Developed
## 2332 Slovakia 2013 Developed
## 2333 Slovakia 2012 Developed
## 2334 Slovakia 2011 Developed
## 2335 Slovakia 2010 Developed
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## 2341 Slovakia 2004 Developed
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## 2344 Slovakia 2001 Developed
## 2345 Slovakia 2000 Developed
## 2346 Slovenia 2015 Developed
## 2347 Slovenia 2014 Developed
## 2348 Slovenia 2013 Developed
## 2349 Slovenia 2012 Developed
## 2350 Slovenia 2011 Developed
## 2351 Slovenia 2010 Developed
## 2352 Slovenia 2009 Developed
## 2353 Slovenia 2008 Developed
## 2354 Slovenia 2007 Developed
## 2355 Slovenia 2006 Developed
## 2356 Slovenia 2005 Developed
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## 2360 Slovenia 2001 Developed
## 2361 Slovenia 2000 Developed
## 2370 Solomon Islands 2007 Developing
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## 2375 Solomon Islands 2002 Developing
## 2386 Somalia 2007 Developing
## 2397 South Africa 2012 Developing
## 2425 South Sudan 2000 Developing
## 2426 Spain 2015 Developed
## 2427 Spain 2014 Developed
## 2428 Spain 2013 Developed
## 2429 Spain 2012 Developed
## 2430 Spain 2011 Developed
## 2431 Spain 2010 Developed
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## 2441 Spain 2000 Developed
## 2442 Sri Lanka 2015 Developing
## 2443 Sri Lanka 2014 Developing
## 2444 Sri Lanka 2013 Developing
## 2445 Sri Lanka 2012 Developing
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## 2450 Sri Lanka 2007 Developing
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## 2467 Sudan 2006 Developing
## 2479 Suriname 2010 Developing
## 2482 Suriname 2007 Developing
## 2484 Suriname 2005 Developing
## 2496 Swaziland 2009 Developing
## 2498 Swaziland 2007 Developing
## 2500 Swaziland 2005 Developing
## 2501 Swaziland 2004 Developing
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## 2506 Sweden 2015 Developed
## 2507 Sweden 2014 Developed
## 2508 Sweden 2013 Developed
## 2509 Sweden 2012 Developed
## 2510 Sweden 2011 Developed
## 2511 Sweden 2010 Developed
## 2512 Sweden 2009 Developed
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## 2522 Switzerland 2015 Developed
## 2523 Switzerland 2014 Developed
## 2524 Switzerland 2013 Developed
## 2525 Switzerland 2012 Developed
## 2526 Switzerland 2011 Developed
## 2527 Switzerland 2010 Developed
## 2528 Switzerland 2009 Developed
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## 2535 Switzerland 2002 Developed
## 2536 Switzerland 2001 Developed
## 2537 Switzerland 2000 Developed
## 2540 Syrian Arab Republic 2013 Developing
## 2541 Syrian Arab Republic 2012 Developing
## 2543 Syrian Arab Republic 2010 Developing
## 2544 Syrian Arab Republic 2009 Developing
## 2545 Syrian Arab Republic 2008 Developing
## 2546 Syrian Arab Republic 2007 Developing
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## 2548 Syrian Arab Republic 2005 Developing
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## 2550 Syrian Arab Republic 2003 Developing
## 2551 Syrian Arab Republic 2002 Developing
## 2552 Syrian Arab Republic 2001 Developing
## 2553 Syrian Arab Republic 2000 Developing
## 2570 Thailand 2015 Developing
## 2576 Thailand 2009 Developing
## 2586 The former Yugoslav republic of Macedonia 2015 Developing
## 2587 The former Yugoslav republic of Macedonia 2014 Developing
## 2588 The former Yugoslav republic of Macedonia 2013 Developing
## 2589 The former Yugoslav republic of Macedonia 2012 Developing
## 2590 The former Yugoslav republic of Macedonia 2011 Developing
## 2591 The former Yugoslav republic of Macedonia 2010 Developing
## 2592 The former Yugoslav republic of Macedonia 2009 Developing
## 2593 The former Yugoslav republic of Macedonia 2008 Developing
## 2594 The former Yugoslav republic of Macedonia 2007 Developing
## 2595 The former Yugoslav republic of Macedonia 2006 Developing
## 2596 The former Yugoslav republic of Macedonia 2005 Developing
## 2597 The former Yugoslav republic of Macedonia 2004 Developing
## 2598 The former Yugoslav republic of Macedonia 2003 Developing
## 2599 The former Yugoslav republic of Macedonia 2002 Developing
## 2600 The former Yugoslav republic of Macedonia 2001 Developing
## 2601 The former Yugoslav republic of Macedonia 2000 Developing
## 2612 Timor-Leste 2005 Developing
## 2614 Timor-Leste 2003 Developing
## 2622 Togo 2011 Developing
## 2634 Tonga 2015 Developing
## 2635 Tonga 2014 Developing
## 2636 Tonga 2013 Developing
## 2637 Tonga 2012 Developing
## 2638 Tonga 2011 Developing
## 2639 Tonga 2010 Developing
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## 2641 Tonga 2008 Developing
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## 2644 Tonga 2005 Developing
## 2650 Trinidad and Tobago 2015 Developing
## 2661 Trinidad and Tobago 2004 Developing
## 2666 Tunisia 2015 Developing
## 2667 Tunisia 2014 Developing
## 2668 Tunisia 2013 Developing
## 2669 Tunisia 2012 Developing
## 2670 Tunisia 2011 Developing
## 2671 Tunisia 2010 Developing
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## 2682 Turkey 2015 Developing
## 2683 Turkey 2014 Developing
## 2684 Turkey 2013 Developing
## 2685 Turkey 2012 Developing
## 2686 Turkey 2011 Developing
## 2687 Turkey 2010 Developing
## 2688 Turkey 2009 Developing
## 2689 Turkey 2008 Developing
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## 2701 Turkmenistan 2012 Developing
## 2716 Uganda 2014 Developing
## 2722 Uganda 2008 Developing
## 2723 Uganda 2007 Developing
## 2724 Uganda 2006 Developing
## 2727 Uganda 2003 Developing
## 2732 Ukraine 2014 Developing
## 2734 Ukraine 2012 Developing
## 2735 Ukraine 2011 Developing
## 2747 United Arab Emirates 2015 Developing
## 2748 United Arab Emirates 2014 Developing
## 2749 United Arab Emirates 2013 Developing
## 2750 United Arab Emirates 2012 Developing
## 2751 United Arab Emirates 2011 Developing
## 2752 United Arab Emirates 2010 Developing
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## 2763 United Kingdom of Great Britain and Northern Ireland 2015 Developed
## 2764 United Kingdom of Great Britain and Northern Ireland 2014 Developed
## 2765 United Kingdom of Great Britain and Northern Ireland 2013 Developed
## 2766 United Kingdom of Great Britain and Northern Ireland 2012 Developed
## 2767 United Kingdom of Great Britain and Northern Ireland 2011 Developed
## 2768 United Kingdom of Great Britain and Northern Ireland 2010 Developed
## 2769 United Kingdom of Great Britain and Northern Ireland 2009 Developed
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## 2778 United Kingdom of Great Britain and Northern Ireland 2000 Developed
## 2780 United Republic of Tanzania 2014 Developing
## 2784 United Republic of Tanzania 2010 Developing
## 2792 United Republic of Tanzania 2002 Developing
## 2793 United Republic of Tanzania 2001 Developing
## 2795 United States of America 2015 Developed
## 2796 United States of America 2014 Developed
## 2797 United States of America 2013 Developed
## 2798 United States of America 2012 Developed
## 2799 United States of America 2011 Developed
## 2800 United States of America 2010 Developed
## 2801 United States of America 2009 Developed
## 2802 United States of America 2008 Developed
## 2803 United States of America 2007 Developed
## 2804 United States of America 2006 Developed
## 2805 United States of America 2005 Developed
## 2806 United States of America 2004 Developed
## 2807 United States of America 2003 Developed
## 2808 United States of America 2002 Developed
## 2809 United States of America 2001 Developed
## 2810 United States of America 2000 Developed
## 2811 Uruguay 2015 Developing
## 2812 Uruguay 2014 Developing
## 2813 Uruguay 2013 Developing
## 2814 Uruguay 2012 Developing
## 2815 Uruguay 2011 Developing
## 2816 Uruguay 2010 Developing
## 2817 Uruguay 2009 Developing
## 2818 Uruguay 2008 Developing
## 2819 Uruguay 2007 Developing
## 2820 Uruguay 2006 Developing
## 2821 Uruguay 2005 Developing
## 2822 Uruguay 2004 Developing
## 2823 Uruguay 2003 Developing
## 2824 Uruguay 2002 Developing
## 2825 Uruguay 2001 Developing
## 2826 Uruguay 2000 Developing
## 2843 Vanuatu 2015 Developing
## 2844 Vanuatu 2014 Developing
## 2845 Vanuatu 2013 Developing
## 2846 Vanuatu 2012 Developing
## 2847 Vanuatu 2011 Developing
## 2848 Vanuatu 2010 Developing
## 2849 Vanuatu 2009 Developing
## 2858 Vanuatu 2000 Developing
## 2875 Viet Nam 2015 Developing
## 2876 Viet Nam 2014 Developing
## 2877 Viet Nam 2013 Developing
## 2878 Viet Nam 2012 Developing
## 2879 Viet Nam 2011 Developing
## 2880 Viet Nam 2010 Developing
## 2881 Viet Nam 2009 Developing
## 2882 Viet Nam 2008 Developing
## 2883 Viet Nam 2007 Developing
## 2884 Viet Nam 2006 Developing
## 2885 Viet Nam 2005 Developing
## 2886 Viet Nam 2004 Developing
## 2887 Viet Nam 2003 Developing
## 2888 Viet Nam 2002 Developing
## 2889 Viet Nam 2001 Developing
## 2890 Viet Nam 2000 Developing
## 2899 Yemen 2007 Developing
## 2904 Yemen 2002 Developing
## 2907 Zambia 2015 Developing
## 2914 Zambia 2008 Developing
## 2919 Zambia 2003 Developing
## 2920 Zambia 2002 Developing
## 2931 Zimbabwe 2007 Developing
## 2932 Zimbabwe 2006 Developing
## 2936 Zimbabwe 2002 Developing
## Life.expectancy Adult.Mortality infant.deaths Alcohol
## 14 56.2 3 88 0.01
## 17 77.8 74 0 4.60
## 18 77.5 8 0 4.51
## 19 77.2 84 0 4.76
## 20 76.9 86 0 5.14
## 21 76.6 88 0 5.37
## 22 76.2 91 1 5.28
## 23 76.1 91 1 5.79
## 24 75.3 1 1 5.61
## 25 75.9 9 1 5.58
## 26 74.2 99 1 5.31
## 27 73.5 15 1 5.16
## 28 73.0 17 1 4.54
## 29 72.8 18 1 4.29
## 30 73.3 15 1 3.73
## 31 73.6 14 1 4.25
## 32 72.6 11 1 3.66
## 33 75.6 19 21 NA
## 34 75.4 11 21 0.01
## 35 75.3 112 21 0.53
## 36 75.1 113 21 0.66
## 37 74.9 116 21 0.56
## 38 74.7 119 21 0.45
## 39 74.4 123 20 0.50
## 40 74.1 126 20 0.46
## 41 73.8 129 20 0.44
## 42 73.4 132 20 0.36
## 43 72.9 136 19 0.50
## 44 72.3 14 19 0.45
## 45 71.7 146 20 0.34
## 46 71.6 145 20 0.36
## 47 71.4 145 20 0.23
## 48 71.3 145 21 0.25
## 63 45.7 44 97 2.58
## 64 45.3 48 97 1.85
## 65 76.4 13 0 NA
## 66 76.2 131 0 8.56
## 67 76.1 133 0 8.58
## 68 75.9 134 0 8.18
## 69 75.7 136 0 7.84
## 70 75.6 138 0 7.84
## 71 75.4 14 0 7.82
## 72 75.2 142 0 8.27
## 73 75.0 144 0 8.64
## 74 74.8 145 0 8.93
## 75 74.6 147 0 8.15
## 76 74.4 149 0 7.28
## 81 76.3 116 8 NA
## 82 76.2 118 8 7.93
## 83 76.0 119 8 8.28
## 84 75.9 12 9 8.35
## 85 75.7 12 9 8.11
## 86 75.5 121 10 8.15
## 87 75.6 126 10 8.33
## 88 75.4 126 10 8.41
## 89 74.8 129 10 8.16
## 90 75.2 127 11 7.75
## 91 74.9 127 11 7.53
## 92 74.7 13 11 7.63
## 93 74.1 137 11 7.62
## 94 74.1 138 12 7.81
## 95 74.0 138 12 7.76
## 96 74.1 137 12 7.68
## 97 74.8 118 1 NA
## 98 74.6 12 1 3.91
## 99 74.4 123 1 3.79
## 100 74.4 121 1 3.89
## 101 73.9 128 1 4.09
## 102 73.5 132 1 4.23
## 103 73.3 137 1 3.96
## 104 73.2 14 1 3.96
## 105 73.5 132 1 3.99
## 106 72.9 141 1 4.01
## 107 73.0 137 1 4.25
## 108 73.0 132 1 3.81
## 109 72.7 134 1 3.03
## 110 72.6 134 1 2.86
## 111 72.6 141 1 2.86
## 112 72.0 142 1 2.90
## 113 82.8 59 1 NA
## 114 82.7 6 1 9.71
## 115 82.5 61 1 9.87
## 116 82.3 61 1 10.03
## 117 82.0 63 1 10.30
## 118 81.9 64 1 10.52
## 119 81.7 66 1 10.62
## 120 81.3 66 1 10.76
## 121 81.3 66 1 10.56
## 122 81.2 66 1 10.31
## 123 81.0 67 1 10.30
## 124 86.0 69 1 9.84
## 125 83.0 71 1 9.97
## 126 79.9 73 1 9.84
## 127 79.9 75 1 9.53
## 128 79.5 78 1 10.17
## 129 81.5 65 0 NA
## 130 81.4 66 0 12.32
## 131 81.1 68 0 11.82
## 132 88.0 7 0 12.26
## 133 88.0 73 0 12.04
## 134 84.0 75 0 12.10
## 135 82.0 77 0 11.30
## 136 84.0 76 0 12.00
## 137 81.0 8 0 12.50
## 138 79.8 81 0 12.40
## 139 79.4 85 0 12.40
## 140 79.3 86 0 12.10
## 141 78.8 88 0 12.20
## 142 78.7 9 0 12.50
## 143 78.6 92 0 12.40
## 144 78.1 96 0 13.20
## 145 72.7 118 5 NA
## 146 72.5 119 5 0.01
## 147 72.2 121 5 2.14
## 148 71.9 123 5 0.01
## 149 71.6 125 5 1.98
## 150 71.1 13 5 1.98
## 151 78.0 132 6 2.10
## 152 73.0 141 6 1.18
## 153 73.0 14 6 1.02
## 158 67.8 146 7 0.55
## 160 66.6 16 9 0.65
## 161 76.1 147 0 NA
## 162 75.4 16 0 9.45
## 174 73.1 19 0 10.85
## 177 76.9 69 0 NA
## 178 76.8 7 0 1.57
## 179 76.7 7 0 1.65
## 180 76.5 71 0 1.70
## 181 76.1 76 0 1.66
## 182 76.1 73 0 1.93
## 183 76.0 74 0 1.95
## 184 75.8 76 0 2.00
## 185 75.6 77 0 2.00
## 186 75.5 79 0 2.10
## 187 75.3 81 0 2.05
## 188 75.2 83 0 2.16
## 189 75.0 85 0 2.16
## 190 74.9 87 0 1.99
## 191 74.7 9 0 1.95
## 192 74.5 92 0 2.15
## 193 71.8 129 92 NA
## 194 71.4 132 98 0.01
## 195 71.0 135 104 0.01
## 196 77.0 137 111 0.01
## 197 73.0 14 118 0.01
## 198 69.9 142 126 0.01
## 199 69.5 144 135 0.01
## 200 69.1 147 144 0.01
## 209 75.5 98 0 NA
## 210 75.4 1 0 8.82
## 211 75.2 11 0 8.74
## 212 75.1 12 0 8.61
## 213 74.9 14 0 8.51
## 214 74.7 16 0 8.41
## 215 74.6 19 0 8.46
## 216 74.4 111 0 8.95
## 217 74.2 113 0 8.47
## 218 74.1 115 0 8.39
## 219 73.9 117 0 8.01
## 220 73.8 119 0 7.68
## 221 73.7 121 0 7.65
## 222 73.5 123 0 7.59
## 223 73.4 125 0 7.38
## 224 73.3 127 0 7.43
## 227 71.7 23 0 14.66
## 241 81.1 74 0 NA
## 242 89.0 76 0 12.60
## 243 87.0 77 0 11.77
## 244 83.0 78 0 10.08
## 245 83.0 8 0 10.11
## 246 80.0 81 0 10.22
## 247 79.8 85 0 10.05
## 248 79.5 87 0 10.47
## 249 79.5 86 0 10.25
## 250 79.4 85 0 10.98
## 251 78.9 89 0 12.27
## 252 78.8 91 1 12.05
## 253 78.3 95 0 11.28
## 254 78.0 99 1 11.29
## 255 78.0 1 1 11.01
## 256 77.6 11 1 11.21
## 259 69.8 18 0 6.56
## 269 68.4 21 0 5.67
## 271 68.2 21 0 4.90
## 303 61.7 29 1 0.14
## 310 68.7 22 9 3.95
## 311 68.0 27 10 3.87
## 317 64.5 23 13 2.37
## 321 77.4 88 0 NA
## 322 77.2 89 0 4.03
## 323 77.0 9 0 4.12
## 324 76.8 92 0 4.61
## 325 76.9 92 0 4.64
## 326 76.4 94 0 4.54
## 327 76.1 97 0 4.75
## 328 76.0 98 0 5.13
## 329 75.4 16 0 5.16
## 330 75.7 1 0 4.82
## 331 75.0 12 0 4.56
## 332 75.5 99 0 4.25
## 333 75.2 12 0 4.14
## 334 75.4 11 0 3.84
## 335 74.9 113 0 3.85
## 336 74.6 116 0 3.64
## 340 63.4 3 2 0.01
## 353 75.0 142 42 NA
## 354 74.8 144 44 7.32
## 355 74.7 146 46 7.24
## 356 74.5 148 49 7.55
## 364 72.0 17 81 6.85
## 369 77.7 78 0 NA
## 370 77.6 8 0 0.01
## 371 77.1 84 0 0.01
## 372 78.3 79 0 0.01
## 373 77.4 79 0 0.97
## 374 76.9 79 0 0.88
## 375 76.8 88 0 0.25
## 376 77.2 84 0 0.67
## 377 76.0 1 0 0.85
## 378 76.3 93 0 0.67
## 379 76.2 92 0 0.16
## 380 76.4 89 0 0.11
## 381 76.0 89 0 0.12
## 382 74.8 95 0 0.13
## 383 74.7 19 0 0.47
## 384 74.4 16 0 0.37
## 385 74.5 137 0 NA
## 386 74.3 138 1 12.03
## 387 74.1 14 1 12.06
## 388 73.9 139 1 10.99
## 389 73.7 144 1 10.67
## 390 73.4 147 1 10.80
## 395 72.1 16 1 10.48
## 399 71.6 16 1 10.72
## 401 59.9 26 38 NA
## 403 59.0 27 40 4.64
## 410 54.3 32 47 4.73
## 419 58.6 33 22 0.01
## 422 56.8 33 23 4.16
## 424 55.3 35 23 4.33
## 434 52.8 47 58 0.01
## 449 73.3 114 0 NA
## 450 73.0 117 0 0.01
## 451 72.8 12 0 0.01
## 452 72.7 121 0 0.01
## 453 72.6 122 0 5.07
## 454 72.5 123 0 4.75
## 455 72.4 124 0 4.45
## 456 72.4 124 0 4.16
## 457 72.3 126 0 5.28
## 458 72.1 129 0 4.25
## 459 71.8 134 0 4.26
## 460 71.4 14 0 4.19
## 461 71.1 144 0 4.16
## 462 77.0 148 0 3.82
## 469 67.0 19 13 2.12
## 473 65.0 24 16 2.08
## 486 55.3 37 53 6.15
## 491 52.8 4 58 5.03
## 494 51.6 47 60 4.58
## 495 51.5 41 61 4.43
## 497 82.2 64 2 NA
## 498 82.0 65 2 8.10
## 499 81.8 67 2 8.20
## 500 81.6 68 2 8.30
## 501 81.5 68 2 8.20
## 502 81.2 7 2 8.40
## 503 81.0 72 2 8.40
## 504 87.0 74 2 8.30
## 505 85.0 74 2 8.30
## 506 85.0 75 2 8.20
## 507 81.0 76 2 8.00
## 508 80.0 77 2 7.80
## 509 79.7 78 2 7.70
## 510 79.5 79 2 7.70
## 511 79.4 8 2 7.60
## 512 79.1 82 2 7.60
## 522 46.3 56 17 1.54
## 525 45.7 51 17 1.49
## 526 45.6 58 17 1.47
## 527 45.6 54 17 1.52
## 528 46.0 49 16 1.51
## 535 57.0 37 46 0.47
## 539 48.6 46 45 0.42
## 540 48.5 45 44 0.34
## 541 48.4 43 44 0.42
## 542 48.1 43 43 0.36
## 543 48.0 4 42 0.30
## 544 47.6 44 41 0.25
## 545 85.0 82 2 NA
## 546 83.0 83 2 7.16
## 547 81.0 84 2 7.20
## 548 79.9 84 2 6.76
## 549 79.8 86 2 7.26
## 550 79.1 89 2 7.93
## 551 79.3 91 2 7.67
## 552 79.6 88 2 7.31
## 553 78.9 9 2 7.39
## 554 78.9 91 2 7.33
## 555 78.4 93 2 7.57
## 556 78.0 97 2 6.32
## 557 77.9 1 2 6.37
## 558 77.8 11 2 6.06
## 559 77.3 16 2 6.10
## 560 77.3 13 2 6.24
## 561 76.1 85 157 NA
## 562 75.8 86 171 5.78
## 563 75.6 88 185 5.79
## 564 75.4 89 201 5.74
## 565 75.2 91 215 5.63
## 566 75.0 92 231 5.75
## 567 74.9 93 248 4.88
## 568 74.5 97 266 4.27
## 569 74.4 96 285 3.88
## 570 74.2 98 307 3.28
## 571 73.9 99 332 2.92
## 572 73.5 11 360 3.04
## 573 73.1 13 391 2.96
## 574 72.7 16 422 2.91
## 575 72.2 11 457 2.84
## 576 71.7 115 490 3.06
## 577 74.8 143 10 NA
## 578 74.6 144 11 4.38
## 579 74.4 145 11 4.41
## 580 74.3 143 11 4.44
## 581 74.2 144 12 4.37
## 582 73.6 15 12 4.28
## 583 73.6 15 13 4.34
## 584 73.5 146 14 4.45
## 585 73.5 144 14 4.66
## 586 73.1 147 15 4.53
## 587 73.1 144 15 4.38
## 588 72.8 148 16 4.26
## 589 72.4 15 16 4.25
## 594 63.2 23 1 0.01
## 620 54.1 48 9 2.58
## 626 79.6 95 1 NA
## 627 79.5 96 1 3.45
## 628 79.4 96 1 3.42
## 629 79.2 97 1 3.34
## 630 79.0 98 1 3.41
## 631 78.1 16 1 3.58
## 632 79.2 96 1 4.07
## 633 78.9 99 1 4.22
## 634 78.9 93 1 4.20
## 635 78.0 16 1 4.15
## 636 78.6 97 1 4.10
## 637 77.7 12 1 4.09
## 638 78.0 1 1 4.04
## 639 78.3 99 1 4.17
## 640 77.5 1 1 4.29
## 641 77.6 98 1 4.34
## 642 78.0 95 0 NA
## 643 77.8 97 0 12.14
## 644 77.7 97 0 12.39
## 645 77.1 14 0 11.49
## 646 77.0 14 0 12.19
## 647 76.6 16 0 12.10
## 648 76.3 19 0 12.21
## 649 76.0 116 0 12.06
## 650 75.8 114 0 12.56
## 651 75.9 113 0 11.83
## 652 75.2 116 0 11.59
## 653 75.4 114 0 13.11
## 654 74.7 122 0 13.78
## 655 74.8 124 0 13.39
## 656 74.9 126 0 13.15
## 657 74.7 127 0 12.73
## 658 79.1 92 1 NA
## 659 79.0 93 1 4.37
## 660 78.7 96 1 4.18
## 661 78.7 96 1 4.16
## 662 78.8 92 1 4.14
## 663 78.0 98 1 4.13
## 664 78.1 11 1 4.01
## 665 77.9 12 1 4.26
## 666 78.1 14 1 4.13
## 667 78.0 14 1 4.17
## 668 77.2 19 1 4.48
## 669 77.3 17 1 4.38
## 670 77.4 18 1 4.39
## 671 77.7 19 1 4.10
## 672 76.7 115 1 4.04
## 673 76.9 115 1 3.92
## 674 85.0 52 0 NA
## 675 83.0 53 0 0.01
## 676 81.0 54 0 9.04
## 677 80.0 56 0 10.55
## 678 79.7 57 0 10.69
## 679 79.5 59 0 11.32
## 680 79.3 6 0 10.80
## 681 79.1 62 0 12.01
## 682 78.9 63 0 11.56
## 683 78.8 64 0 11.47
## 684 78.7 65 0 11.41
## 685 78.6 65 0 13.03
## 686 78.5 66 0 10.62
## 687 78.4 68 0 11.68
## 688 78.2 69 0 10.16
## 689 78.1 7 0 9.56
## 690 78.8 86 0 NA
## 691 78.6 88 0 12.68
## 692 78.2 9 0 12.45
## 693 78.0 93 0 12.71
## 694 77.8 97 0 12.43
## 695 77.5 99 0 12.69
## 696 77.1 12 0 13.23
## 697 77.0 16 0 13.25
## 698 76.8 17 0 13.43
## 699 76.5 19 0 13.03
## 700 75.9 114 0 13.19
## 701 75.8 116 0 13.24
## 702 75.2 122 0 13.01
## 703 75.3 12 0 13.47
## 704 75.1 123 0 13.36
## 705 74.7 126 0 13.22
## 706 76.0 139 6 NA
## 707 73.0 142 6 0.01
## 708 71.0 146 6 3.35
## 709 69.8 149 7 3.61
## 731 55.0 36 235 1.53
## 736 51.8 34 227 1.90
## 738 86.0 71 0 NA
## 739 84.0 73 0 9.64
## 740 81.0 75 0 9.50
## 741 80.0 76 0 9.26
## 742 79.7 79 0 10.47
## 743 79.2 84 0 10.28
## 744 78.9 86 0 10.08
## 745 78.8 88 0 10.70
## 746 78.4 93 0 10.99
## 747 78.1 93 0 11.02
## 748 78.1 92 0 11.28
## 749 77.7 98 0 11.27
## 750 77.3 11 0 11.54
## 751 77.0 14 0 11.34
## 752 77.0 12 0 11.56
## 753 76.9 12 0 11.69
## 763 59.1 39 2 1.02
## 775 73.1 16 6 5.91
## 781 69.7 28 7 5.71
## 783 73.0 22 7 6.32
## 787 76.2 118 6 NA
## 788 76.0 121 6 3.82
## 789 76.0 121 6 3.77
## 790 75.5 127 7 3.92
## 791 75.3 131 7 3.99
## 792 75.0 134 7 3.95
## 793 75.1 137 7 3.87
## 794 74.6 139 7 3.76
## 795 74.7 14 7 3.63
## 796 74.4 144 8 3.52
## 798 74.4 148 8 3.65
## 825 71.4 23 2 2.55
## 827 71.2 23 2 2.83
## 831 69.9 29 3 3.10
## 832 73.0 24 3 2.97
## 835 58.2 32 3 NA
## 836 57.9 32 3 0.01
## 841 55.7 34 3 7.97
## 861 59.4 34 7 1.07
## 867 77.6 119 0 NA
## 868 77.3 122 0 0.01
## 869 76.9 127 0 0.01
## 870 76.3 135 0 0.01
## 871 76.1 138 0 0.01
## 872 75.6 137 0 14.97
## 891 58.5 39 186 1.06
## 900 69.7 19 0 0.01
## 904 69.1 2 0 2.25
## 905 68.9 23 0 2.31
## 906 68.7 26 0 1.95
## 907 68.6 29 0 2.09
## 911 68.0 22 0 1.76
## 912 67.9 22 0 1.85
## 915 81.1 76 0 NA
## 916 89.0 78 0 8.80
## 917 87.0 79 0 8.97
## 918 84.0 82 0 9.24
## 919 83.0 86 0 9.81
## 920 79.9 89 0 9.72
## 921 79.7 91 0 9.96
## 922 79.6 94 0 10.26
## 923 79.3 96 0 10.45
## 924 79.2 96 0 10.15
## 925 78.9 11 0 9.95
## 926 78.7 12 0 9.89
## 927 78.4 98 0 9.31
## 928 78.1 98 0 9.25
## 929 78.0 1 0 8.94
## 930 77.5 15 0 8.59
## 931 82.4 78 2 NA
## 932 82.2 79 3 11.50
## 933 82.0 81 3 11.10
## 934 81.5 83 3 11.50
## 935 81.7 83 3 11.80
## 936 81.3 86 3 11.70
## 937 81.1 88 3 11.80
## 938 89.0 88 3 11.90
## 939 89.0 89 3 12.20
## 940 86.0 92 3 12.40
## 941 81.0 93 3 12.20
## 942 82.0 94 3 13.18
## 943 79.3 99 3 13.49
## 944 79.2 11 3 13.78
## 945 79.0 13 3 13.89
## 946 78.8 13 3 13.63
## 953 61.7 31 2 8.64
## 957 65.0 37 2 7.72
## 959 59.7 32 2 6.47
## 961 59.8 37 2 9.29
## 977 56.3 3 3 2.25
## 978 55.9 33 3 2.18
## 979 74.4 129 1 NA
## 980 74.5 125 1 6.13
## 981 74.5 128 1 5.91
## 982 74.2 13 1 7.71
## 983 73.9 127 1 8.14
## 984 73.8 132 1 7.24
## 985 73.2 133 1 6.66
## 986 73.9 128 1 7.17
## 987 74.4 12 1 8.65
## 988 73.9 126 1 6.18
## 989 73.9 128 1 4.70
## 990 72.3 134 1 3.74
## 991 72.7 132 1 3.36
## 992 71.7 142 2 2.72
## 993 73.0 121 2 2.76
## 994 71.8 129 2 3.28
## 995 81.0 68 2 NA
## 996 89.0 69 2 11.03
## 997 86.0 71 2 10.94
## 998 86.0 71 2 11.18
## 999 85.0 74 2 11.20
## 1000 81.0 76 2 11.20
## 1001 80.0 79 2 11.22
## 1002 79.9 8 2 11.36
## 1003 79.8 82 3 11.50
## 1004 79.6 84 3 11.76
## 1005 79.2 85 3 11.67
## 1006 79.1 86 3 11.83
## 1007 78.5 9 3 11.92
## 1008 78.4 91 3 12.25
## 1009 78.3 92 3 12.46
## 1010 78.0 95 3 12.91
## 1019 59.9 28 41 1.25
## 1022 58.3 34 41 1.46
## 1023 57.9 38 41 1.53
## 1024 57.6 31 42 1.60
## 1025 57.4 39 42 1.49
## 1026 57.2 38 43 1.60
## 1027 81.0 72 0 NA
## 1028 88.0 73 0 7.53
## 1029 86.0 74 0 7.46
## 1030 84.0 76 0 8.20
## 1031 85.0 76 0 8.02
## 1032 83.0 76 0 9.00
## 1033 80.0 78 0 9.08
## 1034 79.9 77 0 9.51
## 1035 79.4 8 0 9.67
## 1036 79.7 77 0 9.42
## 1037 79.3 81 0 9.95
## 1038 79.2 81 0 9.56
## 1039 79.1 81 0 9.46
## 1040 79.0 81 1 8.09
## 1041 78.7 83 1 8.62
## 1042 78.2 84 1 8.48
## 1043 73.6 142 0 NA
## 1044 73.5 143 0 8.42
## 1045 73.3 144 0 8.25
## 1046 73.1 146 0 8.07
## 1047 72.9 15 0 7.84
## 1066 79.0 19 13 2.21
## 1068 69.7 24 14 2.38
## 1069 69.2 28 14 2.35
## 1070 69.6 21 15 2.40
## 1071 69.4 24 15 2.45
## 1072 69.3 21 16 2.41
## 1079 58.1 29 28 0.22
## 1082 56.8 33 30 0.21
## 1083 56.4 36 31 0.19
## 1099 55.0 32 5 2.98
## 1100 54.4 36 5 3.22
## 1101 53.9 37 5 3.10
## 1102 53.5 38 5 2.58
## 1103 53.0 38 5 2.16
## 1104 52.8 35 5 2.47
## 1105 52.5 32 5 2.55
## 1106 52.1 3 5 2.84
## 1110 65.8 22 0 7.57
## 1116 65.2 24 1 7.04
## 1123 63.5 24 14 NA
## 1132 61.1 28 17 6.18
## 1133 65.0 29 17 5.57
## 1134 58.7 32 18 6.10
## 1135 59.7 3 18 6.64
## 1136 59.3 33 19 6.10
## 1137 58.9 35 19 6.22
## 1138 58.6 35 20 4.79
## 1139 74.6 147 3 NA
## 1140 74.5 149 3 2.87
## 1141 74.3 15 4 3.11
## 1147 73.0 16 5 3.16
## 1155 75.8 134 0 NA
## 1156 75.6 137 0 0.01
## 1157 75.5 139 0 10.88
## 1158 75.0 146 0 11.27
## 1159 74.8 15 0 11.51
## 1166 72.9 18 1 13.28
## 1171 82.7 49 0 NA
## 1172 82.5 49 0 7.45
## 1173 82.4 5 0 7.31
## 1174 82.5 5 0 7.81
## 1175 82.1 51 0 8.13
## 1176 81.8 53 0 8.25
## 1177 81.6 55 0 10.22
## 1178 81.4 58 0 8.49
## 1179 81.3 59 0 7.53
## 1180 81.1 61 0 7.20
## 1181 81.0 62 0 7.05
## 1182 88.0 65 0 6.79
## 1183 87.0 65 0 6.61
## 1184 84.0 7 0 6.61
## 1185 80.0 72 0 6.37
## 1186 79.7 74 0 6.17
## 1190 67.3 19 1100 3.10
## 1193 66.0 2 1300 2.50
## 1194 65.5 23 1300 1.93
## 1195 65.2 26 1400 1.59
## 1196 64.8 28 1500 1.37
## 1211 67.5 19 154 0.06
## 1213 67.2 19 163 0.06
## 1219 75.5 83 18 NA
## 1220 75.4 83 19 0.01
## 1221 75.3 83 20 0.01
## 1222 75.1 85 21 0.01
## 1223 74.7 93 22 0.03
## 1224 74.1 16 22 0.03
## 1225 73.3 122 23 0.03
## 1226 72.7 135 24 0.02
## 1227 72.4 138 25 0.02
## 1228 72.2 139 26 0.02
## 1229 72.0 139 27 0.01
## 1230 71.8 139 28 0.01
## 1232 71.2 142 31 0.01
## 1233 78.0 146 33 0.01
## 1234 73.0 15 35 0.01
## 1237 69.5 17 32 0.01
## 1238 76.0 147 32 0.01
## 1239 77.0 144 32 0.17
## 1240 76.0 145 32 0.19
## 1241 74.0 148 32 0.20
## 1245 66.8 29 31 0.18
## 1246 67.2 21 30 0.32
## 1248 74.0 14 30 0.15
## 1249 72.0 142 30 0.17
## 1250 70.0 144 30 0.20
## 1251 81.4 64 0 NA
## 1252 81.2 66 0 10.75
## 1253 81.0 67 0 10.49
## 1254 85.0 69 0 11.49
## 1255 84.0 7 0 11.72
## 1256 86.0 68 0 11.88
## 1257 79.7 77 0 11.41
## 1258 79.8 75 0 12.66
## 1259 79.5 75 0 13.59
## 1260 79.0 78 0 13.44
## 1261 78.7 78 0 13.31
## 1262 78.3 82 0 13.32
## 1263 78.0 82 0 13.24
## 1264 77.4 88 0 14.17
## 1265 77.0 89 0 14.27
## 1266 76.4 94 0 14.07
## 1267 82.5 58 0 NA
## 1268 82.2 6 1 2.62
## 1269 82.1 61 1 2.69
## 1270 81.8 6 1 2.78
## 1271 81.8 61 1 2.67
## 1272 81.7 61 1 2.63
## 1273 81.5 63 1 2.55
## 1274 81.0 65 1 2.47
## 1275 84.0 68 1 2.33
## 1276 84.0 68 1 2.23
## 1277 80.0 71 1 2.41
## 1278 81.0 69 1 2.23
## 1279 79.7 71 1 2.32
## 1280 79.3 74 1 2.47
## 1281 79.3 74 1 2.53
## 1282 78.9 76 1 2.53
## 1283 82.7 56 1 NA
## 1284 82.5 57 2 7.56
## 1285 82.3 58 2 7.35
## 1286 82.0 6 2 7.49
## 1287 82.0 6 2 6.98
## 1288 81.8 6 2 6.95
## 1289 81.6 61 2 7.25
## 1290 81.5 61 2 7.96
## 1291 81.3 63 2 8.37
## 1292 81.2 65 2 8.44
## 1293 88.0 66 2 8.65
## 1294 89.0 66 2 8.98
## 1295 79.9 72 2 9.30
## 1296 80.0 72 2 9.25
## 1297 79.8 75 2 9.69
## 1298 79.4 77 3 9.78
## 1299 76.2 125 1 NA
## 1300 75.8 133 1 3.83
## 1301 75.6 136 1 3.79
## 1302 75.3 138 1 3.65
## 1303 75.2 139 1 3.58
## 1304 75.0 138 1 3.55
## 1305 74.7 142 1 3.33
## 1306 74.5 145 1 3.51
## 1307 74.2 148 1 3.64
## 1308 74.0 15 1 3.63
## 1315 83.7 55 2 NA
## 1316 83.5 57 2 0.01
## 1317 83.5 56 2 7.55
## 1318 83.3 58 2 7.39
## 1319 82.5 64 3 7.39
## 1320 83.0 62 3 6.90
## 1321 83.0 64 3 7.09
## 1322 82.7 66 3 7.11
## 1323 82.6 67 3 7.29
## 1324 82.4 68 3 7.49
## 1325 82.0 69 3 7.99
## 1326 82.1 68 3 7.70
## 1327 81.9 7 3 7.83
## 1328 81.8 7 3 7.87
## 1329 81.5 72 4 8.03
## 1330 81.1 74 4 7.97
## 1331 74.1 112 4 NA
## 1332 74.0 113 4 0.41
## 1333 73.9 114 4 0.40
## 1334 73.7 115 4 0.41
## 1335 73.6 116 4 0.43
## 1336 73.4 117 4 0.51
## 1337 73.3 118 4 0.59
## 1338 73.1 119 4 0.61
## 1339 73.0 12 4 0.60
## 1340 72.8 121 4 0.59
## 1341 72.4 127 4 0.55
## 1342 72.5 125 4 0.54
## 1343 72.3 127 4 0.54
## 1344 72.1 129 4 0.54
## 1345 71.9 131 4 0.55
## 1346 71.7 133 4 0.49
## 1348 69.9 22 5 6.29
## 1349 69.5 28 5 6.48
## 1380 66.1 2 0 0.01
## 1381 65.8 22 0 0.01
## 1382 65.7 24 0 0.01
## 1383 65.5 26 0 0.53
## 1384 65.3 27 0 0.48
## 1385 65.2 28 0 0.54
## 1386 65.1 21 0 0.46
## 1395 74.7 81 0 NA
## 1396 74.6 82 0 0.01
## 1397 74.5 83 1 0.01
## 1398 74.3 84 1 0.01
## 1399 74.2 85 1 0.02
## 1400 74.0 86 1 0.01
## 1401 73.9 87 1 0.10
## 1402 73.8 88 1 0.03
## 1403 73.7 89 1 0.03
## 1404 73.6 89 1 0.01
## 1405 73.6 9 0 0.01
## 1406 73.5 91 0 0.02
## 1407 73.4 93 0 0.03
## 1408 73.3 94 0 0.01
## 1409 73.2 95 0 0.01
## 1410 73.2 96 0 0.01
## 1412 78.0 17 3 0.01
## 1414 69.9 18 3 0.01
## 1417 68.5 21 4 2.39
## 1429 64.9 23 9 0.01
## 1430 64.4 28 9 0.01
## 1436 61.5 24 11 3.69
## 1448 72.8 18 0 9.80
## 1454 71.0 26 0 8.81
## 1455 78.0 29 0 8.24
## 1459 74.9 98 1 NA
## 1460 74.8 99 1 1.32
## 1461 74.9 97 1 1.29
## 1462 75.0 93 1 1.53
## 1463 75.0 93 1 1.57
## 1464 74.9 94 1 1.58
## 1465 74.7 95 1 1.62
## 1466 74.5 98 1 1.67
## 1467 74.4 98 1 1.72
## 1468 74.1 1 1 1.82
## 1469 73.9 11 1 1.94
## 1470 73.7 13 1 2.10
## 1471 73.5 15 1 2.19
## 1472 73.2 17 1 1.98
## 1473 73.0 11 1 2.19
## 1474 72.7 112 1 2.26
## 1479 52.3 52 4 2.39
## 1500 56.7 32 11 4.05
## 1503 50.0 42 13 4.21
## 1506 51.9 39 14 4.46
## 1507 72.7 138 1 NA
## 1508 72.4 143 2 0.01
## 1509 72.9 134 2 0.01
## 1510 72.9 133 2 0.01
## 1512 72.8 132 2 0.01
## 1513 72.7 132 2 0.01
## 1514 72.6 132 2 0.01
## 1515 72.5 132 2 0.01
## 1516 72.2 134 2 0.01
## 1517 71.9 138 2 0.01
## 1518 71.5 141 2 0.01
## 1519 71.3 144 3 0.01
## 1520 71.1 146 3 0.01
## 1521 71.0 147 3 0.01
## 1522 78.0 148 3 0.01
## 1527 72.8 18 0 12.66
## 1531 72.0 24 0 13.40
## 1534 71.6 24 0 12.10
## 1535 71.6 22 0 11.29
## 1536 71.4 22 0 11.00
## 1537 71.2 21 0 10.20
## 1538 71.6 2 0 9.87
## 1539 82.0 63 0 NA
## 1540 81.7 65 0 11.12
## 1541 81.4 68 0 11.02
## 1542 81.1 7 0 11.34
## 1543 88.0 72 0 11.50
## 1544 86.0 73 0 11.36
## 1545 83.0 76 0 11.42
## 1546 80.0 8 0 11.53
## 1547 79.7 82 0 11.75
## 1548 79.4 85 0 11.98
## 1549 78.8 9 0 11.84
## 1550 78.7 92 0 12.42
## 1551 78.6 92 0 12.61
## 1552 78.3 95 0 12.91
## 1553 78.0 96 0 12.89
## 1554 77.8 98 0 13.14
## 1555 65.5 22 28 NA
## 1557 64.7 23 29 0.87
## 1574 55.3 42 31 0.01
## 1581 46.0 66 39 1.04
## 1584 44.0 67 46 1.10
## 1587 75.0 123 4 NA
## 1588 74.8 126 4 0.52
## 1589 74.6 128 3 0.53
## 1590 74.5 129 3 0.53
## 1591 74.3 13 3 0.51
## 1592 74.1 131 3 0.49
## 1593 74.0 131 3 0.47
## 1594 73.8 132 3 0.47
## 1595 73.7 133 3 0.43
## 1596 73.6 134 3 0.42
## 1597 73.4 135 3 0.46
## 1598 73.2 137 3 0.49
## 1599 73.1 138 3 0.48
## 1600 72.9 14 4 0.49
## 1601 72.7 144 4 0.53
## 1602 72.4 149 4 0.54
## 1603 78.5 61 0 NA
## 1604 78.2 62 0 0.01
## 1605 77.9 64 0 0.01
## 1606 77.6 65 0 0.01
## 1607 77.3 67 0 1.92
## 1608 76.7 73 0 1.83
## 1609 76.3 75 0 1.59
## 1610 75.9 81 0 1.76
## 1611 75.4 82 0 1.78
## 1612 75.0 88 0 1.62
## 1613 74.3 93 0 1.47
## 1614 73.4 16 0 1.60
## 1615 72.7 112 0 1.75
## 1616 71.8 124 0 1.95
## 1617 78.0 129 0 1.98
## 1618 69.6 139 0 1.83
## 1622 57.2 27 53 0.01
## 1629 53.6 29 57 0.55
## 1632 51.2 31 60 0.53
## 1633 55.0 34 60 0.51
## 1634 49.8 37 60 0.47
## 1635 81.7 54 0 NA
## 1636 81.4 55 0 8.49
## 1637 81.1 57 0 8.58
## 1638 81.0 58 0 7.67
## 1639 87.0 59 0 6.91
## 1640 83.0 62 0 7.91
## 1641 82.0 63 0 7.38
## 1642 80.0 64 0 7.14
## 1643 79.6 65 0 7.45
## 1644 79.3 66 0 8.84
## 1645 79.0 67 0 6.41
## 1646 78.7 69 0 6.53
## 1647 78.5 71 0 6.70
## 1648 78.2 75 0 5.73
## 1649 77.8 79 0 5.62
## 1650 77.5 8 0 5.59
## 1652 63.1 25 8 NA
## 1653 63.0 26 8 0.01
## 1654 62.7 28 8 0.01
## 1655 62.5 29 8 0.01
## 1667 60.0 23 7 0.03
## 1668 74.6 146 0 NA
## 1669 74.2 148 0 0.01
## 1670 74.1 147 0 0.01
## 1684 76.7 122 30 NA
## 1685 76.6 122 31 5.26
## 1686 76.6 12 32 5.23
## 1687 76.3 123 33 5.29
## 1688 76.1 124 34 5.30
## 1689 75.6 127 35 5.21
## 1690 75.7 13 36 5.27
## 1691 75.6 127 37 5.36
## 1692 76.0 123 38 5.35
## 1693 75.8 125 40 5.11
## 1694 75.3 126 42 4.93
## 1695 75.4 124 44 4.90
## 1696 75.0 127 46 4.88
## 1697 75.0 127 49 4.77
## 1698 75.0 126 52 4.86
## 1699 74.8 129 55 4.99
## 1712 67.5 18 0 3.15
## 1713 66.2 21 0 2.78
## 1722 66.3 25 1 5.80
## 1725 65.9 26 2 3.79
## 1733 76.1 16 0 NA
## 1734 75.9 17 0 0.01
## 1735 75.8 19 0 0.01
## 1736 75.6 11 0 0.01
## 1737 75.4 113 0 6.56
## 1738 75.3 115 0 6.56
## 1739 75.0 117 0 6.45
## 1740 74.6 121 0 6.17
## 1741 74.2 125 0 4.98
## 1742 73.8 13 0 5.38
## 1743 73.6 133 0 NA
## 1744 73.5 134 0 0.01
## 1745 73.5 134 0 0.01
## 1746 73.4 136 0 0.01
## 1747 73.3 136 0 0.01
## 1748 73.0 144 0 0.01
## 1749 74.3 95 17 NA
## 1750 74.1 96 18 0.43
## 1751 73.9 97 18 0.45
## 1752 73.6 99 19 0.55
## 1753 73.3 14 19 0.54
## 1754 72.8 11 20 0.56
## 1755 72.3 116 20 0.62
## 1756 71.8 123 21 0.51
## 1757 71.4 128 21 0.56
## 1758 71.0 133 22 0.58
## 1759 77.0 137 22 0.47
## 1760 72.0 142 23 0.56
## 1761 69.9 146 24 0.58
## 1762 69.5 15 25 0.46
## 1764 68.6 16 27 0.45
## 1767 55.3 46 62 1.16
## 1768 54.8 48 64 1.19
## 1769 54.3 47 66 0.94
## 1770 54.0 47 69 0.96
## 1771 53.8 4 70 1.18
## 1772 53.2 45 72 1.48
## 1779 49.5 48 90 2.09
## 1780 49.0 43 93 1.14
## 1782 66.4 21 40 0.01
## 1783 66.2 22 42 0.70
## 1784 65.9 25 44 0.55
## 1785 65.6 27 47 0.33
## 1786 65.4 29 49 0.30
## 1790 64.2 22 61 0.28
## 1803 62.4 36 3 7.99
## 1812 57.4 41 3 5.73
## 1823 66.0 21 31 0.20
## 1824 65.4 28 33 0.20
## 1826 64.3 22 38 0.20
## 1828 63.2 23 43 0.09
## 1830 81.9 57 1 NA
## 1831 81.7 58 1 0.01
## 1832 81.4 6 1 8.68
## 1833 81.1 62 1 9.05
## 1834 81.1 63 1 8.96
## 1835 88.0 64 1 9.33
## 1836 86.0 65 1 9.23
## 1837 83.0 68 1 9.62
## 1838 82.0 68 1 9.53
## 1839 79.8 71 1 9.79
## 1840 79.4 72 1 9.69
## 1841 79.2 77 1 9.56
## 1842 78.7 8 1 9.56
## 1843 78.4 81 1 9.68
## 1844 78.3 82 1 9.95
## 1845 78.1 84 1 10.06
## 1846 81.6 66 0 8.70
## 1847 81.5 67 0 9.07
## 1848 81.3 69 0 9.18
## 1849 81.1 7 0 9.20
## 1850 86.0 72 0 9.47
## 1851 89.0 71 0 9.62
## 1852 85.0 73 0 9.24
## 1853 81.0 75 0 9.49
## 1854 81.0 76 0 9.19
## 1855 79.9 76 0 9.34
## 1856 79.9 78 0 9.31
## 1857 79.2 79 0 9.15
## 1858 79.1 82 0 8.91
## 1859 78.7 83 0 9.13
## 1860 78.5 83 0 8.75
## 1861 78.6 87 0 8.91
## 1862 74.8 145 2 NA
## 1863 74.5 148 2 3.55
## 1866 74.5 147 3 3.39
## 1871 73.0 17 3 3.69
## 1878 61.8 22 49 NA
## 1890 52.1 28 56 0.10
## 1904 49.2 4 556 9.71
## 1905 48.5 47 563 9.76
## 1906 48.1 41 567 9.75
## 1907 47.7 49 571 9.61
## 1908 47.4 48 574 9.58
## 1909 47.1 45 576 9.23
## 1911 81.8 59 0 5.97
## 1912 81.6 61 0 6.06
## 1913 81.5 62 0 6.21
## 1914 81.3 61 0 6.21
## 1915 81.1 67 0 6.53
## 1916 81.0 66 0 6.59
## 1917 89.0 67 0 6.68
## 1918 86.0 67 0 6.75
## 1919 85.0 67 0 6.60
## 1920 84.0 7 0 6.47
## 1921 81.0 73 0 6.37
## 1922 79.8 77 0 6.22
## 1923 79.4 78 0 6.04
## 1924 78.9 81 0 5.89
## 1925 78.8 82 0 5.49
## 1926 78.5 85 0 5.67
## 1927 76.6 99 1 NA
## 1928 76.4 11 1 0.40
## 1929 76.2 12 1 0.46
## 1930 76.0 14 1 0.51
## 1931 75.8 15 1 0.54
## 1932 75.6 16 1 0.56
## 1933 75.4 18 1 0.56
## 1934 75.2 19 1 0.57
## 1935 74.9 113 1 0.57
## 1936 74.7 115 1 0.58
## 1937 74.3 118 1 0.63
## 1938 74.0 122 1 0.61
## 1939 73.6 127 1 0.56
## 1940 73.3 13 1 0.54
## 1941 72.9 134 1 0.55
## 1942 72.6 138 1 0.38
## 1953 62.9 2 364 0.04
## 1958 62.8 19 385 0.02
## 1960 77.8 118 1 NA
## 1961 77.6 119 1 6.74
## 1962 77.5 118 1 6.89
## 1963 77.2 12 1 6.95
## 1964 77.3 121 1 6.90
## 1965 76.5 122 1 6.94
## 1966 76.8 127 1 6.87
## 1967 76.5 127 1 6.74
## 1968 76.4 124 1 6.16
## 1969 76.2 125 1 5.72
## 1970 75.8 122 1 5.53
## 1971 75.8 123 1 5.69
## 1972 75.5 126 1 5.52
## 1973 75.7 125 1 5.52
## 1974 75.5 124 2 5.43
## 1975 75.7 121 2 5.58
## 1983 61.4 29 11 0.81
## 1986 64.0 37 11 0.84
## 1992 74.0 146 2 NA
## 1993 73.9 147 3 0.01
## 1994 73.8 148 3 5.03
## 1995 73.6 148 3 5.36
## 1996 73.4 15 3 5.79
## 2006 71.2 17 4 6.66
## 2008 75.5 123 8 NA
## 2009 75.3 125 8 0.01
## 2010 75.3 125 8 5.38
## 2011 74.9 129 9 5.14
## 2012 74.5 133 9 4.83
## 2013 73.7 14 10 4.72
## 2014 73.8 14 10 4.69
## 2015 73.9 138 11 4.85
## 2016 74.0 133 11 4.29
## 2017 74.2 134 12 4.22
## 2018 72.8 148 13 4.44
## 2021 72.6 144 16 4.03
## 2022 72.4 142 17 4.22
## 2040 77.5 117 2 NA
## 2041 77.3 12 2 10.71
## 2042 77.1 12 2 11.63
## 2043 76.8 125 2 10.81
## 2044 76.7 128 2 10.93
## 2045 76.3 13 2 10.59
## 2046 75.7 136 2 10.70
## 2047 75.5 14 2 11.40
## 2048 75.3 144 2 10.90
## 2049 75.2 144 2 10.40
## 2050 75.0 144 2 9.50
## 2051 74.9 143 2 9.19
## 2052 74.7 142 3 9.06
## 2053 74.5 145 3 8.02
## 2054 74.2 149 3 7.74
## 2056 81.1 76 0 NA
## 2057 89.0 78 0 9.88
## 2058 86.0 79 0 10.00
## 2059 83.0 81 0 11.96
## 2060 82.0 85 0 11.92
## 2061 79.6 88 0 12.25
## 2062 79.3 9 0 12.03
## 2063 79.0 92 0 12.35
## 2064 78.7 94 0 12.57
## 2065 78.5 96 0 13.11
## 2066 77.7 11 0 13.33
## 2067 78.0 99 0 13.45
## 2068 77.3 15 0 14.21
## 2069 77.2 17 1 12.00
## 2070 76.9 11 1 12.22
## 2071 76.6 11 1 11.89
## 2072 78.2 68 0 NA
## 2073 78.1 69 0 1.15
## 2074 77.9 7 0 1.20
## 2075 77.8 72 0 1.13
## 2076 77.5 74 0 1.16
## 2077 77.3 76 0 1.16
## 2078 77.0 79 0 1.11
## 2079 76.8 82 0 1.37
## 2080 76.7 83 0 1.24
## 2081 76.6 83 0 1.28
## 2082 76.6 84 0 1.18
## 2083 76.6 84 0 1.11
## 2084 76.5 85 0 1.00
## 2085 76.4 85 0 0.87
## 2086 76.3 87 0 0.76
## 2087 76.2 88 0 0.50
## 2088 82.3 64 1 NA
## 2089 82.0 66 1 0.01
## 2090 81.7 68 1 9.33
## 2091 81.2 69 1 9.56
## 2092 81.1 72 2 9.34
## 2093 87.0 74 2 9.23
## 2094 86.0 75 2 8.97
## 2095 83.0 75 2 9.31
## 2096 79.8 77 2 9.05
## 2097 79.4 79 2 8.83
## 2098 78.7 84 2 9.03
## 2099 78.2 89 3 9.18
## 2100 77.6 95 3 9.66
## 2101 77.1 99 3 9.55
## 2102 76.7 17 3 11.45
## 2103 76.0 116 4 10.33
## 2120 75.0 133 2 NA
## 2121 74.8 135 2 0.01
## 2122 74.6 138 2 9.59
## 2123 74.4 138 2 9.58
## 2124 74.3 139 2 9.10
## 2145 66.4 3 17 11.79
## 2150 65.1 38 21 10.47
## 2151 65.0 37 22 10.18
## 2153 65.7 23 12 0.01
## 2157 62.8 26 16 7.92
## 2162 55.3 37 24 7.01
## 2164 52.0 48 29 6.66
## 2169 75.2 138 0 NA
## 2170 75.0 139 0 9.97
## 2171 74.8 141 0 9.73
## 2172 74.7 142 0 9.99
## 2173 74.6 143 0 10.43
## 2174 74.2 147 0 10.87
## 2175 74.3 147 0 11.09
## 2176 74.1 149 0 12.09
## 2179 73.1 16 0 12.32
## 2189 72.7 16 0 7.02
## 2193 71.9 17 0 5.89
## 2201 74.0 125 0 NA
## 2202 73.8 128 0 0.01
## 2203 73.6 131 0 0.01
## 2204 73.2 136 0 0.01
## 2205 73.0 139 0 2.15
## 2206 72.6 144 0 3.01
## 2208 72.5 146 0 3.97
## 2209 72.2 149 0 3.85
## 2211 71.6 16 0 3.63
## 2216 72.0 18 0 3.00
## 2218 67.5 19 0 NA
## 2223 66.2 24 0 5.58
## 2224 65.8 21 0 4.13
## 2227 64.7 22 0 5.46
## 2234 74.5 88 7 NA
## 2235 74.4 88 7 0.09
## 2236 74.3 89 8 0.09
## 2237 74.1 9 8 0.09
## 2238 73.9 92 8 0.09
## 2239 73.7 94 8 0.09
## 2240 73.4 97 8 0.09
## 2241 73.3 98 9 0.09
## 2242 73.2 99 9 0.10
## 2243 73.2 1 9 0.08
## 2244 73.1 11 9 0.05
## 2245 73.1 12 9 0.06
## 2246 73.0 13 9 0.05
## 2247 72.9 15 10 0.05
## 2248 72.8 17 10 0.05
## 2249 72.6 11 10 0.05
## 2253 65.6 2 20 0.28
## 2254 64.9 26 20 0.32
## 2258 62.1 23 22 0.32
## 2265 57.5 25 27 0.29
## 2266 75.6 121 1 NA
## 2267 75.4 123 1 9.09
## 2268 75.3 122 1 9.16
## 2269 74.9 126 1 9.38
## 2270 74.6 127 1 9.56
## 2271 74.4 128 1 9.65
## 2272 74.1 131 1 9.85
## 2273 74.0 132 1 9.54
## 2274 73.8 132 1 9.30
## 2275 73.6 133 1 8.58
## 2276 73.0 135 1 9.60
## 2277 73.0 134 1 7.42
## 2278 73.0 134 1 7.25
## 2279 72.9 133 1 6.95
## 2280 73.1 135 1 7.53
## 2281 72.6 141 1 7.38
## 2283 73.0 17 0 0.01
## 2287 72.4 18 0 6.51
## 2300 54.0 47 23 0.01
## 2306 45.3 45 29 3.86
## 2308 43.3 48 30 3.83
## 2310 41.5 57 30 4.07
## 2314 83.1 55 0 1.79
## 2315 82.9 56 0 1.83
## 2316 82.7 57 0 1.83
## 2317 82.5 59 0 1.89
## 2318 82.2 6 0 1.80
## 2319 82.0 61 0 1.84
## 2320 81.7 62 0 1.73
## 2321 81.4 64 0 1.70
## 2322 81.1 65 0 1.60
## 2323 87.0 66 0 1.55
## 2324 82.0 69 0 1.49
## 2325 79.7 71 0 1.45
## 2326 79.3 73 0 1.43
## 2327 79.0 74 0 2.16
## 2328 78.7 76 0 2.08
## 2329 78.3 78 0 2.03
## 2330 76.7 19 0 NA
## 2331 76.4 113 0 10.60
## 2332 76.1 114 0 9.89
## 2333 75.8 118 0 10.12
## 2334 75.6 122 0 10.24
## 2335 75.1 124 0 10.13
## 2336 75.0 131 0 10.63
## 2337 74.7 136 0 11.37
## 2338 74.4 14 0 10.58
## 2339 74.3 138 0 10.28
## 2340 74.0 141 0 10.81
## 2341 74.1 138 0 10.03
## 2342 73.8 144 0 9.85
## 2343 73.7 145 0 10.78
## 2344 73.3 145 0 10.73
## 2345 73.0 147 0 11.06
## 2346 88.0 74 0 NA
## 2347 87.0 76 0 10.46
## 2348 85.0 78 0 9.53
## 2349 82.0 81 0 10.95
## 2350 79.8 84 0 10.61
## 2351 79.5 87 0 10.32
## 2352 79.1 9 0 10.52
## 2353 78.9 96 0 10.94
## 2354 78.3 12 0 11.02
## 2355 78.1 17 0 12.26
## 2356 77.5 14 0 11.14
## 2357 77.2 113 0 10.00
## 2358 76.5 119 0 11.58
## 2359 76.6 117 0 9.29
## 2360 76.2 124 0 10.80
## 2361 76.0 122 0 11.90
## 2370 67.6 2 0 0.85
## 2371 67.6 2 0 0.99
## 2372 67.4 24 0 0.90
## 2373 67.1 29 0 1.18
## 2375 66.5 22 0 1.08
## 2386 51.5 34 52 0.01
## 2397 59.2 48 43 7.38
## 2425 48.9 38 31 NA
## 2426 82.8 56 1 NA
## 2427 82.6 58 1 0.01
## 2428 82.4 6 1 9.25
## 2429 82.0 61 1 9.35
## 2430 82.1 63 1 9.62
## 2431 81.9 64 1 9.78
## 2432 81.6 66 2 9.99
## 2433 81.3 7 2 10.24
## 2434 89.0 72 2 11.05
## 2435 88.0 73 2 11.86
## 2436 81.0 77 2 11.92
## 2437 81.0 79 2 11.96
## 2438 79.4 83 2 12.09
## 2439 79.5 83 2 12.26
## 2440 79.4 84 2 9.86
## 2441 79.1 86 2 11.12
## 2442 74.9 138 3 NA
## 2443 74.7 141 3 2.37
## 2444 74.6 142 3 2.56
## 2445 74.5 143 3 2.80
## 2446 74.5 141 3 3.03
## 2447 74.5 138 3 2.31
## 2450 73.7 146 4 2.29
## 2451 73.8 145 4 1.96
## 2452 74.2 138 4 1.97
## 2454 73.9 146 5 1.69
## 2455 73.7 149 5 1.62
## 2456 72.7 16 5 1.68
## 2467 61.0 26 66 1.90
## 2479 73.0 19 0 5.26
## 2482 69.5 22 0 4.72
## 2484 68.9 25 0 4.47
## 2496 52.6 46 3 4.90
## 2498 50.0 51 3 5.55
## 2500 46.0 63 3 5.08
## 2501 45.6 69 3 5.78
## 2502 45.9 6 3 5.65
## 2506 82.4 53 0 NA
## 2507 82.3 54 0 7.30
## 2508 81.9 57 0 7.30
## 2509 81.7 57 0 7.40
## 2510 81.7 58 0 7.40
## 2511 81.5 58 0 7.20
## 2512 81.4 62 0 7.30
## 2513 81.1 62 0 6.90
## 2514 89.0 63 0 6.90
## 2515 88.0 64 0 6.50
## 2516 85.0 66 0 6.50
## 2517 83.0 7 0 6.60
## 2518 82.0 69 0 6.90
## 2519 79.9 71 0 6.90
## 2520 79.8 73 0 6.60
## 2521 79.6 73 0 6.20
## 2522 83.4 49 0 NA
## 2523 83.2 51 0 9.61
## 2524 83.0 52 0 9.73
## 2525 82.7 54 0 9.86
## 2526 82.6 55 0 9.99
## 2527 82.3 57 0 10.01
## 2528 82.1 6 0 10.15
## 2529 82.0 6 0 10.29
## 2530 81.7 63 0 10.44
## 2531 81.5 65 0 10.24
## 2532 81.1 66 0 10.15
## 2533 81.0 69 0 10.55
## 2534 85.0 72 0 10.82
## 2535 84.0 74 0 10.85
## 2536 82.0 75 0 11.12
## 2537 79.7 78 0 11.26
## 2540 63.6 37 7 0.01
## 2541 62.8 32 7 0.01
## 2543 73.7 127 7 0.78
## 2544 73.8 124 7 0.81
## 2545 73.8 122 8 0.80
## 2546 73.8 121 8 0.83
## 2547 73.7 123 8 0.97
## 2548 73.5 127 9 0.92
## 2549 73.2 131 9 0.93
## 2550 73.0 134 9 1.29
## 2551 72.8 135 9 1.25
## 2552 72.7 135 10 1.29
## 2553 72.6 136 10 1.41
## 2570 74.9 148 8 NA
## 2576 73.7 16 11 5.88
## 2586 75.7 12 0 NA
## 2587 75.5 12 0 1.13
## 2588 75.3 14 0 1.03
## 2589 75.1 15 0 1.23
## 2590 74.9 17 0 1.16
## 2591 74.7 18 0 1.47
## 2592 74.4 111 0 1.77
## 2593 74.2 111 0 1.72
## 2594 73.5 12 0 1.75
## 2595 73.7 122 0 1.74
## 2596 73.6 12 0 1.75
## 2597 73.5 12 0 2.07
## 2598 73.2 126 0 2.40
## 2599 72.8 128 0 2.53
## 2600 73.1 126 0 3.27
## 2601 72.6 125 0 2.86
## 2612 63.7 26 3 0.36
## 2614 61.0 25 3 0.44
## 2622 58.3 34 14 1.44
## 2634 73.5 133 0 NA
## 2635 73.3 135 0 0.01
## 2636 73.2 137 0 0.01
## 2637 73.0 138 0 0.01
## 2638 72.9 14 0 0.96
## 2639 72.8 142 0 1.24
## 2640 72.5 147 0 1.08
## 2641 72.6 145 0 1.10
## 2642 72.5 146 0 2.05
## 2643 72.4 148 0 1.79
## 2644 72.3 15 0 1.57
## 2650 71.2 17 0 NA
## 2661 69.4 19 0 5.82
## 2666 75.3 1 3 NA
## 2667 75.1 12 3 1.39
## 2668 74.9 13 3 1.29
## 2669 74.9 13 3 1.30
## 2670 74.8 13 3 1.29
## 2671 74.8 12 3 1.28
## 2672 74.7 12 3 1.40
## 2673 74.7 12 3 1.37
## 2674 74.6 12 3 1.24
## 2675 74.4 12 3 1.46
## 2676 74.2 14 3 1.37
## 2677 74.0 15 3 1.36
## 2678 73.7 17 4 1.34
## 2679 73.5 19 4 1.17
## 2680 73.2 11 4 1.19
## 2681 72.9 112 4 1.21
## 2682 75.8 16 15 NA
## 2683 75.5 17 16 1.45
## 2684 75.2 19 17 1.41
## 2685 74.8 112 19 1.54
## 2686 74.5 114 20 1.53
## 2687 74.2 116 21 1.49
## 2688 73.9 118 23 1.40
## 2689 73.5 121 25 1.39
## 2690 73.2 124 26 1.26
## 2691 72.8 126 28 1.29
## 2692 72.4 129 30 1.29
## 2693 72.0 132 33 1.35
## 2694 71.6 135 35 1.42
## 2695 71.2 138 38 1.47
## 2696 78.0 14 41 1.49
## 2697 74.0 143 44 1.54
## 2701 65.6 22 7 2.75
## 2716 61.5 38 68 0.01
## 2722 56.3 41 84 9.79
## 2723 55.5 41 88 9.65
## 2724 54.9 41 93 9.81
## 2727 51.0 53 109 10.16
## 2732 78.0 23 4 8.06
## 2734 77.0 25 5 8.44
## 2735 75.0 24 5 8.48
## 2747 77.1 75 1 NA
## 2748 76.9 77 1 1.91
## 2749 76.7 78 1 1.82
## 2750 76.5 8 1 1.75
## 2751 76.3 81 1 1.73
## 2752 76.2 82 1 1.69
## 2753 76.0 84 1 1.73
## 2754 75.8 85 1 1.86
## 2755 75.6 87 1 1.69
## 2756 75.4 89 1 1.74
## 2757 75.3 92 1 1.79
## 2758 75.1 95 1 1.77
## 2759 74.9 98 1 1.74
## 2760 74.7 11 1 1.72
## 2761 74.5 14 1 1.67
## 2762 74.2 17 1 1.64
## 2763 81.2 69 3 10.66
## 2764 81.0 71 3 10.37
## 2765 87.0 72 3 10.32
## 2766 86.0 72 3 10.42
## 2767 86.0 74 3 10.68
## 2768 82.0 77 3 10.88
## 2769 81.0 78 4 10.79
## 2770 79.6 8 4 11.47
## 2771 79.5 8 4 11.84
## 2772 79.3 82 4 11.61
## 2773 79.0 82 4 12.05
## 2774 78.8 83 4 12.22
## 2775 78.3 86 4 11.85
## 2776 78.2 87 4 11.44
## 2777 78.0 88 4 10.91
## 2778 77.8 89 4 10.59
## 2780 67.0 34 86 0.01
## 2784 57.5 36 89 4.19
## 2792 52.0 46 106 3.37
## 2793 49.6 46 110 4.09
## 2795 79.3 13 23 NA
## 2796 79.1 14 23 8.82
## 2797 78.9 16 23 8.82
## 2798 78.8 16 24 8.82
## 2799 78.7 16 25 8.67
## 2800 78.7 15 25 8.55
## 2801 78.5 18 26 8.71
## 2802 78.2 18 27 8.74
## 2803 78.1 11 27 8.74
## 2804 77.8 113 28 8.63
## 2805 77.5 112 28 8.52
## 2806 77.5 111 28 8.48
## 2807 77.2 114 28 8.40
## 2808 77.0 115 28 8.33
## 2809 76.9 115 28 8.25
## 2810 76.8 114 28 8.21
## 2811 77.0 116 0 NA
## 2812 76.8 117 0 6.03
## 2813 76.8 117 0 5.82
## 2814 76.5 118 0 5.77
## 2815 77.0 111 0 5.97
## 2816 76.3 118 0 6.21
## 2817 76.6 118 0 6.67
## 2818 76.4 119 1 6.76
## 2819 75.4 124 1 6.67
## 2820 76.2 117 1 6.58
## 2821 75.7 123 1 6.35
## 2822 75.4 122 1 5.66
## 2823 75.4 121 1 5.11
## 2824 75.4 124 1 5.86
## 2825 75.2 123 1 6.48
## 2826 75.1 131 1 6.65
## 2843 72.0 13 0 NA
## 2844 71.7 134 0 0.01
## 2845 71.6 135 0 0.01
## 2846 71.4 138 0 0.01
## 2847 71.2 141 0 0.85
## 2848 71.0 145 0 0.91
## 2849 78.0 149 0 0.83
## 2858 69.0 18 0 1.21
## 2875 76.0 127 28 NA
## 2876 75.9 128 28 4.09
## 2877 75.7 129 28 4.00
## 2878 75.6 13 29 4.12
## 2879 75.4 131 29 3.94
## 2880 75.2 133 29 3.93
## 2881 75.0 134 29 3.86
## 2882 74.9 135 28 3.58
## 2883 74.7 136 28 3.01
## 2884 74.6 136 28 2.56
## 2885 74.4 136 29 2.70
## 2886 74.2 136 29 2.86
## 2887 74.0 137 30 2.19
## 2888 73.8 137 30 2.03
## 2889 73.6 138 32 1.84
## 2890 73.4 139 33 1.60
## 2899 63.4 24 38 0.05
## 2904 61.5 25 45 0.07
## 2907 61.8 33 27 NA
## 2914 55.7 45 31 2.12
## 2919 46.4 64 39 2.33
## 2920 45.5 69 41 2.44
## 2931 46.6 67 29 3.88
## 2932 45.4 7 28 4.57
## 2936 44.8 73 25 4.43
## percentage.expenditure Hepatitis.B Measles BMI under.five.deaths Polio
## 14 1.688735e+01 64 1000 13.0 122 36
## 17 3.649752e+02 99 0 58.0 0 99
## 18 4.287491e+02 98 0 57.2 1 98
## 19 4.308770e+02 99 0 56.5 1 99
## 20 4.124434e+02 99 9 55.8 1 99
## 21 4.370621e+02 99 28 55.1 1 99
## 22 4.182276e+01 99 10 54.3 1 99
## 23 3.480560e+02 98 0 53.5 1 98
## 24 3.662207e+01 99 0 52.6 1 99
## 25 3.224655e+01 98 22 51.7 1 99
## 26 3.302154e+00 98 68 5.8 1 97
## 27 2.699312e+01 98 6 49.9 1 97
## 28 2.218428e+02 99 7 48.9 1 98
## 29 1.471929e+01 97 8 47.9 1 97
## 30 1.045169e+02 96 16 46.9 1 98
## 31 9.620557e+01 96 18 46.0 1 97
## 32 9.171154e+01 96 662 45.0 1 97
## 33 0.000000e+00 95 63 59.5 24 95
## 34 5.423732e+01 95 0 58.4 24 95
## 35 5.444507e+02 95 25 57.2 24 95
## 36 5.559261e+02 95 18 56.1 24 95
## 37 5.090020e+02 95 112 55.0 24 95
## 38 4.307176e+02 95 103 53.9 24 95
## 39 3.520636e+02 94 107 52.8 23 94
## 40 4.308717e+01 91 217 51.8 23 92
## 41 3.203239e+02 9 0 5.8 23 95
## 42 2.702402e+02 8 944 49.8 23 95
## 43 2.548923e+00 83 1000 48.9 22 88
## 44 2.203937e+02 81 1000 47.9 23 86
## 45 2.501852e+01 NA 1000 47.0 23 87
## 46 1.485120e+02 NA 1000 46.1 23 86
## 47 1.479861e+02 NA 1000 45.3 24 89
## 48 1.544559e+02 NA 0 44.4 25 86
## 63 3.035994e+01 NA 1000 15.8 159 41
## 64 1.588149e+01 NA 1000 15.4 160 3
## 65 0.000000e+00 99 0 47.7 0 86
## 66 2.423000e+03 99 0 47.0 0 96
## 67 1.991430e+03 99 0 46.4 0 98
## 68 2.156230e+03 98 0 45.7 0 97
## 69 1.810875e+03 99 0 45.1 0 99
## 70 1.983957e+03 98 0 44.4 0 99
## 71 1.493587e+02 98 0 43.8 0 98
## 72 1.807763e+02 98 0 43.2 0 99
## 73 2.579665e+02 97 0 42.6 0 98
## 74 2.163147e+02 99 0 42.0 0 99
## 75 1.455608e+03 99 0 41.4 0 98
## 76 2.286295e+01 97 0 4.8 0 97
## 81 0.000000e+00 94 0 62.8 9 93
## 82 8.473717e+02 94 1 62.2 9 92
## 83 1.001796e+03 94 0 61.6 10 99
## 84 1.133558e+03 91 2 61.0 10 99
## 85 1.504329e+03 91 3 6.4 10 93
## 86 1.876110e+02 94 17 59.8 11 95
## 87 1.398043e+03 94 3 59.2 11 97
## 88 1.413735e+03 9 0 58.6 11 94
## 89 1.105659e+03 85 0 58.0 12 92
## 90 9.611775e+02 84 0 57.5 12 92
## 91 9.616653e+01 88 0 56.9 12 95
## 92 7.193664e+02 81 0 56.3 12 91
## 93 5.758467e+01 73 0 55.7 13 95
## 94 4.701869e+02 66 0 55.1 13 94
## 95 1.230129e+02 NA 0 54.6 13 85
## 96 1.349025e+03 NA 6 54.0 14 88
## 97 0.000000e+00 94 33 54.9 1 96
## 98 2.956087e+02 93 13 54.1 1 95
## 99 2.794291e+02 95 10 53.3 1 96
## 100 2.741527e+02 95 0 52.6 1 96
## 101 2.609964e+02 95 0 51.9 1 96
## 102 2.243212e+02 94 2 51.2 1 96
## 103 2.011855e+02 93 0 5.7 1 94
## 104 2.888898e+00 89 0 5.1 1 91
## 105 4.457220e+01 85 1 49.7 1 9
## 106 2.445353e+02 78 137 49.2 1 87
## 107 2.021823e+01 91 1000 48.8 1 92
## 108 9.774088e+01 91 1000 48.4 1 93
## 109 7.341493e+00 93 4 48.1 1 96
## 110 5.717810e+01 91 40 47.8 1 96
## 111 5.319373e+01 69 69 47.4 1 97
## 112 3.275627e+01 55 15 47.1 1 96
## 113 0.000000e+00 93 74 66.6 1 93
## 114 1.076936e+04 91 340 66.1 1 92
## 115 1.173485e+04 91 158 65.5 1 91
## 116 1.171500e+04 91 199 65.0 1 92
## 117 1.098627e+04 92 190 64.4 1 92
## 118 8.875786e+03 92 70 63.9 1 92
## 119 7.172275e+03 94 104 63.4 1 92
## 120 8.547292e+03 94 65 62.9 1 92
## 121 8.725986e+02 94 11 62.5 2 92
## 122 6.187062e+03 95 0 62.0 2 92
## 123 5.791332e+02 95 10 61.5 2 92
## 124 5.885684e+02 95 70 6.9 1 92
## 125 3.829551e+03 95 91 6.3 1 92
## 126 4.638718e+01 95 32 59.6 2 92
## 127 3.064301e+03 94 141 59.0 2 91
## 128 3.471874e+02 NA 108 58.2 2 9
## 129 0.000000e+00 93 309 57.6 0 93
## 130 8.350194e+03 98 117 57.1 0 98
## 131 9.058501e+01 95 0 56.6 0 95
## 132 7.878372e+03 92 36 56.1 0 92
## 133 8.272307e+03 89 68 55.7 0 89
## 134 7.423229e+03 86 52 55.2 0 86
## 135 8.053558e+03 83 49 54.7 0 83
## 136 8.329732e+03 83 448 54.2 0 83
## 137 7.453864e+03 85 20 53.7 0 85
## 138 6.992899e+01 83 23 53.2 0 83
## 139 5.992588e+03 86 9 52.7 0 86
## 140 5.316877e+03 83 15 52.2 0 83
## 141 5.044309e+02 83 90 51.7 0 84
## 142 3.979058e+03 81 0 51.2 0 82
## 143 3.582848e+03 44 0 5.6 0 83
## 144 3.557456e+03 33 0 5.1 0 71
## 145 0.000000e+00 96 0 52.5 6 98
## 146 3.061824e+02 94 0 51.5 6 97
## 147 2.756515e+02 93 164 5.6 6 96
## 148 2.856104e+02 88 0 49.7 6 92
## 149 2.631427e+02 84 0 48.8 6 91
## 150 2.465686e+02 8 0 48.0 6 85
## 151 2.248638e+01 74 0 47.3 6 84
## 152 2.062616e+02 68 5 46.6 6 85
## 153 1.760107e+02 62 0 45.9 7 81
## 158 3.933254e+01 5 1000 43.1 9 8
## 160 3.509463e+01 NA 210 42.1 11 75
## 161 0.000000e+00 95 0 64.5 0 95
## 162 0.000000e+00 96 0 63.8 0 96
## 174 0.000000e+00 89 0 56.0 0 93
## 177 0.000000e+00 98 0 63.6 0 98
## 178 3.672557e+02 98 46 62.9 0 98
## 179 3.968696e+00 99 0 62.2 0 99
## 180 2.211216e+03 99 0 61.5 0 99
## 181 1.977735e+02 99 0 6.8 0 99
## 182 2.667696e+02 99 0 6.1 0 99
## 183 3.329348e+02 98 3 59.3 0 97
## 184 2.315479e+02 97 2 58.5 0 97
## 185 2.783603e+02 97 7 57.6 0 97
## 186 1.707374e+02 98 3 56.8 0 98
## 187 1.553469e+03 98 4 56.1 0 98
## 188 1.380228e+03 98 11 55.6 0 98
## 189 1.214558e+03 98 12 55.2 0 97
## 190 1.064303e+02 98 8 55.0 0 98
## 191 1.150418e+03 99 5 54.8 0 99
## 192 1.677271e+02 97 6 54.5 0 97
## 193 0.000000e+00 97 240 18.3 113 97
## 194 1.044640e+01 97 289 17.7 121 97
## 195 5.282986e+01 96 237 17.0 130 96
## 196 5.925893e+01 94 1000 16.4 139 94
## 197 6.234988e+01 96 1000 15.8 150 96
## 198 6.265945e+01 94 788 15.2 161 94
## 199 5.326400e+01 97 718 14.6 173 97
## 200 4.248865e+01 96 1000 14.0 186 96
## 209 0.000000e+00 97 0 54.5 0 97
## 210 2.949057e+02 94 0 53.7 0 95
## 211 2.630373e+02 91 0 53.0 0 91
## 212 2.600044e+02 87 0 52.2 0 88
## 213 1.739826e+02 91 0 51.4 0 91
## 214 1.549631e+02 86 0 5.7 0 9
## 215 3.271618e+02 93 0 49.9 0 93
## 216 2.552277e+01 85 0 49.2 0 85
## 217 1.641310e+03 93 0 48.4 0 93
## 218 1.815001e+02 84 0 47.7 0 85
## 219 1.311440e+03 92 0 46.9 0 91
## 220 1.660083e+02 93 0 46.2 0 93
## 221 1.351399e+01 91 0 45.4 0 9
## 222 1.330995e+02 66 0 44.6 0 86
## 223 1.381665e+02 18 0 43.8 0 93
## 224 1.140616e+03 NA 0 43.0 0 86
## 227 1.109855e+03 98 16 61.1 1 98
## 241 0.000000e+00 98 47 63.7 1 99
## 242 7.163349e+03 98 70 63.4 1 99
## 243 7.023594e+02 98 39 63.0 1 99
## 244 6.644739e+02 98 109 62.6 1 99
## 245 7.135297e+02 97 576 62.3 1 98
## 246 6.657356e+02 97 40 61.9 1 98
## 247 6.719377e+02 97 33 61.6 1 98
## 248 7.191052e+03 98 98 61.3 1 99
## 249 6.403561e+02 94 64 6.9 1 99
## 250 5.579199e+03 94 15 6.6 1 99
## 251 5.068214e+03 77 26 6.2 1 97
## 252 5.160508e+03 64 61 59.8 1 96
## 253 5.073062e+02 64 44 59.4 1 96
## 254 3.203178e+02 6 0 59.0 1 96
## 255 2.943375e+03 6 83 58.5 1 96
## 256 2.872085e+02 6 0 58.1 1 96
## 259 6.292019e+02 95 0 49.3 0 95
## 269 3.127996e+02 96 0 42.6 0 95
## 271 2.516587e+02 96 0 41.4 0 96
## 303 8.574030e+00 89 756 14.4 1 88
## 310 0.000000e+00 91 0 49.3 12 9
## 311 0.000000e+00 93 0 48.6 12 92
## 317 0.000000e+00 8 0 44.7 17 82
## 321 0.000000e+00 82 1000 55.8 0 74
## 322 7.328662e+02 89 1000 55.3 0 86
## 323 7.561063e+01 91 0 54.7 0 87
## 324 6.938226e+02 92 22 54.2 0 87
## 325 7.959131e+00 88 10 53.7 0 89
## 326 6.303884e+02 89 45 53.1 0 9
## 327 6.450213e+02 9 22 52.6 0 9
## 328 6.604635e+01 88 8 52.1 0 92
## 329 8.240356e+00 94 166 51.5 0 95
## 330 3.825414e+01 9 17 51.0 0 91
## 331 4.571354e+01 93 23 5.5 0 95
## 332 3.479919e+00 36 28 49.9 0 87
## 333 3.986518e+01 NA 18 49.4 0 87
## 334 1.511399e+02 NA 28 48.8 0 86
## 335 1.432947e+02 NA 0 48.2 0 92
## 336 1.656169e+02 NA 43 47.6 0 87
## 340 1.283447e+01 95 7 36.2 3 96
## 353 0.000000e+00 96 214 56.1 47 98
## 354 8.316465e+01 96 876 55.3 49 96
## 355 9.162708e+02 96 220 54.5 52 96
## 356 8.431946e+02 96 2 53.6 54 96
## 364 1.866090e+02 96 0 46.9 93 99
## 369 0.000000e+00 99 4 41.2 0 99
## 370 2.691433e+02 99 1 4.2 0 99
## 371 2.845306e+03 98 0 39.2 0 99
## 372 3.192634e+03 99 1 38.2 0 99
## 373 2.957730e+02 93 4 37.2 0 99
## 374 2.218364e+03 96 0 36.2 0 99
## 375 1.873687e+03 96 2 35.2 0 99
## 376 2.538941e+03 96 3 34.2 0 97
## 377 2.048557e+03 97 0 33.2 0 95
## 378 2.497533e+01 99 0 32.2 0 94
## 379 1.797148e+02 99 9 31.2 0 93
## 380 1.504300e+03 99 16 3.1 0 92
## 381 1.406512e+03 99 24 29.1 0 99
## 382 9.417037e+02 99 0 28.0 0 99
## 383 1.078662e+03 99 11 27.0 0 99
## 384 1.179686e+01 99 42 26.1 0 99
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## 1768 4.990987e+01 76 145 21.3 90 73
## 1769 4.080618e+01 76 177 2.9 94 73
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## 1771 3.975217e+01 74 60 2.1 101 74
## 1772 7.969158e-01 75 4 19.7 104 74
## 1779 3.782512e+01 25 1000 16.9 132 72
## 1780 4.717251e+01 NA 1000 16.5 136 69
## 1782 4.533789e+01 88 122 22.9 52 88
## 1783 3.833793e+01 75 1000 22.1 55 76
## 1784 3.842791e+01 58 1000 21.3 58 87
## 1785 2.123699e+01 4 1000 2.5 61 9
## 1786 1.748294e+01 92 190 19.8 65 9
## 1790 4.632776e+00 75 760 17.0 83 82
## 1803 5.756748e+02 NA 1000 31.0 4 83
## 1812 3.580979e+01 NA 469 24.5 4 8
## 1823 4.587990e+01 69 1000 14.4 41 91
## 1824 4.259753e+00 41 1000 13.9 44 78
## 1826 2.790965e+00 2 1000 12.9 50 76
## 1828 2.192814e+01 NA 1000 11.9 58 73
## 1830 0.000000e+00 94 7 62.1 1 95
## 1831 1.491704e+03 92 140 61.6 1 96
## 1832 1.475030e+03 51 1000 61.0 1 97
## 1833 1.162657e+03 2 10 6.5 1 97
## 1834 1.047370e+03 2 51 59.9 1 97
## 1835 1.035621e+03 NA 15 59.3 1 97
## 1836 9.685859e+01 NA 15 58.6 1 97
## 1837 1.087341e+04 NA 109 57.9 1 97
## 1838 9.689733e+03 NA 10 57.3 1 97
## 1839 8.344010e+03 NA 1 56.5 1 96
## 1840 6.577508e+03 NA 4 55.8 1 96
## 1841 5.170131e+03 NA 11 55.0 1 98
## 1842 4.472611e+03 NA 4 54.2 1 98
## 1843 3.455197e+03 NA 3 53.4 1 97
## 1844 3.054516e+03 NA 0 52.6 1 97
## 1845 2.944640e+03 NA 1000 51.8 1 97
## 1846 0.000000e+00 92 10 67.5 0 92
## 1847 1.040278e+03 93 280 66.9 0 93
## 1848 1.001908e+04 93 8 66.4 0 92
## 1849 9.245654e+02 93 68 65.9 0 93
## 1850 8.342406e+03 95 597 65.3 0 95
## 1851 6.664149e+03 9 43 64.8 0 93
## 1852 6.357705e+01 93 198 64.3 0 92
## 1853 6.761289e+03 9 0 63.8 0 89
## 1854 6.063107e+02 88 25 63.2 0 88
## 1855 4.962228e+02 87 20 62.6 0 89
## 1856 4.910559e+02 87 20 62.1 0 89
## 1857 4.423775e+02 88 33 61.5 0 87
## 1858 3.661793e+03 89 66 6.9 0 86
## 1859 2.892257e+03 89 21 6.3 0 84
## 1860 2.205986e+03 9 65 59.6 0 82
## 1861 2.143021e+03 9 65 58.9 0 82
## 1862 0.000000e+00 98 0 54.0 2 99
## 1863 4.731238e+02 98 0 53.2 3 99
## 1866 3.216133e+02 98 0 5.9 3 99
## 1871 2.141124e+01 88 0 47.1 4 88
## 1878 0.000000e+00 65 1000 19.3 87 65
## 1890 2.026877e+01 NA 1000 14.6 121 44
## 1904 6.416253e+00 18 1000 19.3 893 45
## 1905 5.722556e+01 NA 1000 18.8 907 43
## 1906 3.019551e+01 NA 1000 18.3 918 42
## 1907 1.713775e+01 NA 1000 17.8 928 4
## 1908 1.583099e+01 NA 1000 17.3 936 36
## 1909 2.248178e+01 NA 1000 16.9 943 31
## 1911 0.000000e+00 NA 14 61.2 0 95
## 1912 1.776383e+02 NA 3 6.8 0 93
## 1913 2.347829e+02 NA 8 6.3 0 94
## 1914 2.094191e+03 NA 4 59.8 0 95
## 1915 2.773551e+02 NA 39 59.4 0 94
## 1916 1.526806e+04 NA 3 58.9 0 93
## 1917 1.423749e+02 NA 2 58.5 0 94
## 1918 1.707131e+03 NA 4 58.0 0 94
## 1919 1.482941e+04 NA 0 57.5 0 93
## 1920 1.282925e+04 NA 0 57.0 0 94
## 1921 1.179253e+04 NA 0 56.5 0 91
## 1922 1.009825e+03 NA 7 55.9 0 92
## 1923 8.807381e+02 NA 8 55.3 0 92
## 1924 7.496823e+02 NA 5 54.6 0 93
## 1925 6.356827e+03 NA 4 54.0 0 91
## 1926 6.191212e+03 NA 0 53.3 0 91
## 1927 0.000000e+00 99 0 54.6 1 99
## 1928 1.661914e+02 99 0 53.5 1 99
## 1929 1.154893e+03 98 0 52.8 1 99
## 1930 1.055835e+03 98 13 52.3 1 99
## 1931 1.582771e+02 99 5 52.0 1 99
## 1932 1.292261e+02 99 3 51.8 1 99
## 1933 1.040629e+03 98 19 51.5 1 96
## 1934 1.230966e+02 99 18 51.1 1 97
## 1935 8.845038e+01 99 24 5.6 1 97
## 1936 7.851141e+01 99 13 5.1 1 98
## 1937 8.540116e+02 99 25 49.5 1 99
## 1938 7.046762e+01 99 18 48.9 1 99
## 1939 6.565631e+01 99 1 48.1 1 99
## 1940 5.859171e+02 99 5 47.3 1 99
## 1941 5.645426e+02 99 15 46.5 1 99
## 1942 6.286658e+01 99 15 45.9 1 99
## 1953 3.059321e+01 7 1000 18.9 459 78
## 1958 1.884534e+01 NA 1000 16.4 495 65
## 1960 0.000000e+00 73 0 57.8 1 72
## 1961 1.842464e+03 8 0 57.1 1 8
## 1962 1.694467e+03 8 0 56.3 1 81
## 1963 2.017491e+02 85 0 55.6 1 87
## 1964 1.192124e+02 87 4 54.9 1 91
## 1965 1.199320e+03 94 0 54.2 2 95
## 1966 1.092155e+03 85 0 53.4 2 85
## 1967 9.568230e+02 86 0 52.7 2 86
## 1968 7.625080e+01 85 0 51.9 2 84
## 1969 6.311252e+02 88 0 51.1 2 98
## 1970 6.239101e+02 92 0 5.3 2 88
## 1971 5.276085e+02 95 0 49.5 2 92
## 1972 5.845976e+01 98 0 48.6 2 95
## 1973 7.880940e+01 98 0 47.8 2 99
## 1974 7.320514e+00 98 0 46.9 2 95
## 1975 9.871021e+00 NA 0 45.9 2 99
## 1983 1.037278e+02 59 0 43.4 14 76
## 1986 1.205552e+01 63 1000 41.1 15 61
## 1992 0.000000e+00 93 0 5.2 3 89
## 1993 5.617685e+02 87 0 49.4 3 83
## 1994 5.734347e+02 86 0 48.6 3 8
## 1995 4.418446e+02 87 0 47.9 3 83
## 1996 4.721933e+02 89 0 47.1 3 84
## 2006 2.338489e+02 NA 0 39.8 5 9
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## 2011 8.859858e+02 95 0 53.6 11 94
## 2012 7.595381e+02 91 0 52.9 12 91
## 2013 6.943935e+01 93 0 52.2 12 92
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## 2015 5.849897e+01 93 1 5.8 14 93
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## 2815 4.179117e+02 95 0 61.8 1 95
## 2816 2.331533e+03 95 0 61.2 1 95
## 2817 1.871737e+03 95 0 6.7 1 95
## 2818 2.473142e+01 94 0 6.1 1 94
## 2819 1.447306e+01 94 0 59.5 1 94
## 2820 1.712226e+03 95 0 58.9 1 95
## 2821 1.525448e+02 96 0 58.3 1 96
## 2822 8.823564e+02 94 0 57.7 1 95
## 2823 1.608400e+02 91 0 57.0 1 91
## 2824 2.746881e+01 95 0 56.3 1 93
## 2825 4.214804e+02 94 0 55.7 1 94
## 2826 6.459584e+02 92 0 55.0 1 92
## 2843 0.000000e+00 64 39 53.3 0 65
## 2844 5.648167e+02 64 10 52.5 0 65
## 2845 4.475456e+02 64 0 51.7 0 65
## 2846 4.279885e+02 64 0 5.8 0 65
## 2847 4.579732e+02 63 0 49.9 0 65
## 2848 4.718627e+02 62 0 49.1 0 66
## 2849 3.610941e+02 62 0 48.2 0 66
## 2858 2.190075e+01 7 9 41.1 0 67
## 2875 0.000000e+00 97 256 17.5 35 97
## 2876 0.000000e+00 95 1000 16.7 35 96
## 2877 0.000000e+00 59 1000 16.0 35 93
## 2878 0.000000e+00 97 578 15.3 36 97
## 2879 0.000000e+00 95 750 14.7 36 96
## 2880 0.000000e+00 88 1000 14.0 35 94
## 2881 0.000000e+00 94 1000 13.4 35 97
## 2882 0.000000e+00 87 352 12.9 35 93
## 2883 0.000000e+00 67 17 12.3 35 92
## 2884 0.000000e+00 93 1000 11.8 35 94
## 2885 0.000000e+00 94 410 11.3 36 94
## 2886 0.000000e+00 94 217 1.9 36 96
## 2887 0.000000e+00 78 1000 1.4 37 96
## 2888 0.000000e+00 NA 1000 1.0 39 92
## 2889 0.000000e+00 NA 1000 9.6 41 96
## 2890 0.000000e+00 NA 1000 9.2 43 96
## 2899 0.000000e+00 79 13 35.1 49 79
## 2904 0.000000e+00 31 890 32.2 61 64
## 2907 0.000000e+00 9 9 23.4 40 9
## 2914 1.536784e+02 87 140 19.7 49 9
## 2919 6.578997e+01 NA 881 17.6 62 85
## 2920 5.404348e+01 NA 1000 17.3 66 85
## 2931 2.981457e+01 72 242 28.2 46 73
## 2932 3.426217e+01 68 212 27.9 45 71
## 2936 0.000000e+00 73 304 26.3 40 73
## Total.expenditure Diphtheria HIV.AIDS GDP Population
## 14 7.76 36 0.1 187.84595 21979923
## 17 6.00 99 0.1 3954.22783 28873
## 18 5.88 98 0.1 4575.76379 288914
## 19 5.66 99 0.1 4414.72314 289592
## 20 5.59 99 0.1 4247.61438 2941
## 21 5.71 99 0.1 4437.17868 295195
## 22 5.34 99 0.1 494.35883 291321
## 23 5.79 98 0.1 4114.13655 2927519
## 24 5.87 99 0.1 437.53965 2947314
## 25 6.10 98 0.1 363.13685 29717
## 26 5.86 97 0.1 35.12930 2992547
## 27 6.12 98 0.1 279.14293 311487
## 28 6.38 97 0.1 2416.58824 326939
## 29 6.27 97 0.1 189.68156 339616
## 30 6.30 98 0.1 1453.64278 3511
## 31 6.00 97 0.1 1326.97339 36173
## 32 6.26 97 0.1 1175.78898 38927
## 33 NA 95 0.1 4132.76292 39871528
## 34 7.21 95 0.1 547.85170 39113313
## 35 7.12 95 0.1 5471.86677 38338562
## 36 6.14 95 0.1 5564.82566 37565847
## 37 5.29 95 0.1 5432.25230 36819558
## 38 5.12 95 0.1 4463.39467 36117637
## 39 5.36 95 0.1 3868.83123 3546576
## 40 4.20 93 0.1 495.25487 3486715
## 41 3.82 95 0.1 3935.18334 34376
## 42 3.36 95 0.1 3464.61790 33777915
## 43 3.24 88 0.1 31.12238 33288437
## 44 3.54 86 0.1 2598.98230 3283196
## 45 3.60 87 0.1 294.33556 3243514
## 46 3.73 86 0.1 1774.33673 3199546
## 47 3.84 89 0.1 1732.85798 31592153
## 48 3.49 86 0.1 1757.17797 3118366
## 63 5.38 38 2.1 526.16874 16983266
## 64 2.79 28 2.0 555.29694 1644924
## 65 NA 99 0.2 13566.95410 NA
## 66 5.54 99 0.2 12888.29667 NA
## 67 5.33 99 0.2 12224.86416 NA
## 68 5.39 98 0.2 12565.44197 NA
## 69 5.65 99 0.1 11929.34991 NA
## 70 5.63 98 0.1 12126.87614 NA
## 71 4.86 99 0.1 1312.46692 NA
## 72 4.69 99 0.1 1473.31923 NA
## 73 4.27 99 0.1 14252.29452 NA
## 74 4.34 99 0.1 12724.39377 NA
## 75 4.41 99 0.1 11371.93895 NA
## 76 4.21 97 0.1 1352.83740 NA
## 81 NA 94 0.1 13467.12360 43417765
## 82 4.79 94 0.1 12245.25645 42981515
## 83 4.99 94 0.1 12976.63642 42539925
## 84 5.20 91 0.1 12969.77120 4296739
## 85 5.89 91 0.1 12726.98360 41656879
## 86 6.55 94 0.1 1276.26500 41223889
## 87 7.63 94 0.1 8161.36966 479947
## 88 6.66 93 0.1 8953.35928 4382389
## 89 6.49 91 0.1 7193.61764 3997224
## 90 6.68 91 0.1 5878.76127 3955889
## 91 6.85 98 0.1 576.88383 39145488
## 92 6.84 98 0.1 4251.57435 38728696
## 93 8.22 96 0.1 333.43760 3839379
## 94 8.31 93 0.1 2579.19317 3788937
## 95 9.38 83 0.1 717.69467 3747159
## 96 9.21 83 0.1 7669.27392 3757452
## 97 NA 94 0.1 369.65478 291695
## 98 4.48 93 0.1 3994.71236 29622
## 99 4.55 95 0.1 3843.59121 289359
## 100 4.48 95 0.1 3684.84810 2881922
## 101 3.71 95 0.1 3526.97814 2875581
## 102 4.56 94 0.1 3218.38166 2877311
## 103 4.55 93 0.1 2993.83253 2888584
## 104 3.80 89 0.1 41.26997 29822
## 105 4.31 88 0.1 3138.88730 293356
## 106 4.58 87 0.1 2158.29900 29585
## 107 5.25 9 0.1 1643.75840 2981259
## 108 5.50 91 0.1 1191.96192 3612
## 109 5.56 94 0.1 93.16616 31786
## 110 5.40 94 0.1 783.26170 333897
## 111 5.94 94 0.1 694.43512 35655
## 112 6.25 93 0.1 622.74275 369588
## 113 NA 93 0.1 56554.38760 23789338
## 114 9.42 92 0.1 62214.69120 2346694
## 115 9.36 91 0.1 67792.33860 23117353
## 116 9.36 92 0.1 67677.63477 22728254
## 117 9.20 92 0.1 62245.12900 223424
## 118 9.20 92 0.1 51874.84800 223175
## 119 9.50 92 0.1 42742.99898 216917
## 120 8.78 92 0.1 49664.68540 212492
## 121 8.53 92 0.1 4991.98289 28276
## 122 8.49 92 0.1 36118.28381 26979
## 123 8.45 92 0.1 3416.71483 23948
## 124 8.57 92 0.1 3472.37977 21274
## 125 8.32 93 0.1 23465.38559 198954
## 126 8.39 92 0.1 281.81763 196514
## 127 8.18 92 0.1 19517.84168 19413
## 128 8.80 9 0.1 2169.92100 19153
## 129 NA 93 0.1 43665.94700 8633169
## 130 11.21 98 0.1 51322.63997 8541575
## 131 11.14 95 0.1 554.71532 8479375
## 132 11.17 92 0.1 48333.57273 8429991
## 133 1.94 89 0.1 51126.74139 8391643
## 134 11.17 86 0.1 46657.62900 836344
## 135 11.19 83 0.1 47654.18721 8343323
## 136 1.60 83 0.1 51386.37665 8321496
## 137 1.40 85 0.1 46586.65250 8295487
## 138 1.35 83 0.1 443.99361 8268641
## 139 1.53 86 0.1 38242.42520 8227829
## 140 1.56 83 0.1 36693.42620 8171966
## 141 1.48 84 0.1 3212.93550 8121423
## 142 1.27 83 0.1 26351.37568 881957
## 143 1.12 84 0.1 24489.73553 842293
## 144 1.60 81 0.1 24517.26745 811566
## 145 NA 96 0.1 55.31382 9649341
## 146 6.40 94 0.1 7891.29978 953579
## 147 5.54 93 0.1 7875.75695 941681
## 148 5.37 89 0.1 7496.33573 9295784
## 149 5.10 87 0.1 7189.69123 917382
## 150 5.33 81 0.1 5842.85784 954332
## 151 5.85 81 0.1 495.29479 8947243
## 152 4.37 81 0.1 5574.63820 87634
## 153 5.10 79 0.1 3851.43787 85813
## 158 4.47 76 0.1 763.73858 817195
## 160 4.67 76 0.1 655.97433 8486
## 161 NA 95 0.1 NA NA
## 162 7.74 96 0.1 NA NA
## 174 5.26 94 0.1 NA NA
## 177 NA 98 0.1 22688.87824 NA
## 178 4.98 98 0.1 24983.37920 NA
## 179 4.69 99 0.1 251.18329 NA
## 180 4.37 99 0.1 23649.36661 NA
## 181 3.40 99 0.1 2281.12420 NA
## 182 3.64 99 0.1 2722.13890 NA
## 183 3.79 98 0.1 19356.67236 NA
## 184 3.17 97 0.1 2367.56535 NA
## 185 3.80 97 0.1 2977.11530 NA
## 186 3.80 98 0.1 1937.99549 NA
## 187 3.16 98 0.1 17959.17854 NA
## 188 3.37 98 0.1 15846.47641 NA
## 189 3.74 97 0.1 14221.99259 NA
## 190 3.89 98 0.1 1312.33457 NA
## 191 3.80 99 0.1 12868.21100 NA
## 192 3.51 97 0.1 13636.34668 NA
## 193 NA 97 0.1 121.15812 1612886
## 194 2.82 97 0.1 184.56543 15945279
## 195 2.88 96 0.1 951.88945 157571292
## 196 3.80 94 0.1 856.34286 15572753
## 197 3.16 96 0.1 835.78934 153911916
## 198 3.60 94 0.1 757.67176 15214912
## 199 2.91 97 0.1 681.12537 1545478
## 200 2.85 96 0.1 615.77754 14885814
## 209 NA 97 0.1 15557.83810 NA
## 210 7.47 94 0.1 15359.66971 NA
## 211 7.57 91 0.1 15472.78140 NA
## 212 7.43 87 0.1 15384.87490 NA
## 213 6.67 91 0.1 15534.15740 NA
## 214 6.17 86 0.1 1595.91232 NA
## 215 6.21 93 0.1 16523.32388 NA
## 216 6.10 85 0.1 1657.32280 NA
## 217 5.64 93 0.1 16462.48556 NA
## 218 5.27 84 0.1 15646.55910 NA
## 219 5.38 92 0.1 14223.86576 NA
## 220 5.71 93 0.2 12868.86390 NA
## 221 5.82 89 0.4 1228.54470 NA
## 222 5.76 87 0.8 11675.39395 NA
## 223 5.47 84 0.7 11513.87189 NA
## 224 5.16 93 0.9 11568.11110 NA
## 227 6.70 98 0.1 7978.82544 9465997
## 241 NA 99 0.1 4356.87500 11274196
## 242 1.59 99 0.1 47439.39684 112957
## 243 1.57 99 0.1 4651.38647 11182817
## 244 1.54 99 0.1 4474.57170 11128246
## 245 1.42 98 0.1 4772.77415 1147744
## 246 1.17 98 0.1 4438.23741 1895586
## 247 1.39 98 0.1 4488.56150 1796493
## 248 9.60 99 0.1 48424.58927 179973
## 249 9.25 98 0.1 4443.83131 16257
## 250 9.17 98 0.1 38852.36130 1547958
## 251 9.24 97 0.1 36967.28292 1478617
## 252 9.32 95 0.1 35589.71295 1421137
## 253 9.30 95 0.1 3743.95693 1376133
## 254 8.46 95 0.1 2552.33280 1332785
## 255 8.29 95 0.1 23121.56635 128657
## 256 8.12 95 0.1 2327.45910 125125
## 259 5.79 95 0.2 4688.53844 344181
## 269 4.53 96 1.5 3679.99523 26913
## 271 4.50 96 0.4 3419.27572 254984
## 303 5.91 88 0.1 87.93877 5896
## 310 5.44 91 0.2 NA NA
## 311 5.76 93 0.2 NA NA
## 317 5.30 88 0.2 NA NA
## 321 NA 82 0.1 4574.97870 3535961
## 322 9.57 86 0.1 5193.94932 35662
## 323 9.46 89 0.1 535.86555 364999
## 324 9.94 92 0.1 4716.67332 36482
## 325 9.71 88 0.1 55.15683 3688865
## 326 9.58 89 0.1 4611.47298 372284
## 327 9.64 9 0.1 4697.89732 3746561
## 328 8.58 91 0.1 575.31664 3763599
## 329 8.37 95 0.1 418.29218 3774
## 330 8.28 87 0.1 344.32170 3779468
## 331 8.50 93 0.1 2968.41186 378153
## 332 9.40 84 0.1 265.64266 3781287
## 333 7.94 87 0.1 2214.73225 3779247
## 334 7.10 8 0.1 1761.53765 377587
## 335 7.16 91 0.1 1524.41222 3771284
## 336 7.90 85 0.1 1461.75520 376676
## 340 6.27 95 4.4 729.23145 289315
## 353 NA 96 0.1 8757.26220 2596218
## 354 8.32 93 0.1 1226.61731 24213133
## 355 8.48 97 0.1 12216.94460 2248632
## 356 8.26 95 0.1 12291.46685 256983
## 364 7.70 99 0.1 3623.47667 184738458
## 369 NA 99 0.1 3967.89510 NA
## 370 2.65 99 0.1 4159.86520 NA
## 371 2.61 99 0.1 44597.27968 NA
## 372 2.30 99 0.1 47651.25990 NA
## 373 2.25 97 0.1 4717.27300 NA
## 374 2.73 95 0.1 35268.11170 NA
## 375 2.85 99 0.1 27965.47540 NA
## 376 2.23 98 0.1 37951.28600 NA
## 377 2.32 99 0.1 32672.36717 NA
## 378 2.24 97 0.1 398.96692 NA
## 379 2.62 94 0.1 2612.13345 NA
## 380 3.10 92 0.1 21896.65270 NA
## 381 3.90 92 0.1 18555.56649 NA
## 382 3.40 94 0.1 16846.21980 NA
## 383 3.60 97 0.1 16468.12886 NA
## 384 3.50 99 0.1 188.44826 NA
## 385 NA 91 0.1 6993.47736 7177991
## 386 8.44 88 0.1 7853.33519 7223938
## 387 7.93 95 0.1 7674.86559 7265115
## 388 7.11 95 0.1 7378.25539 735888
## 389 6.88 95 0.1 7813.83499 7348328
## 390 7.24 94 0.1 6843.26329 7395599
## 395 7.80 96 0.1 3893.68998 7658972
## 399 7.23 94 0.1 1764.97387 89142
## 401 NA 91 0.6 615.59222 1811624
## 403 5.91 88 0.7 699.45285 1772723
## 410 6.58 86 2.0 422.63324 13829177
## 419 8.30 96 1.0 282.75553 96186
## 422 8.82 96 1.9 231.19433 876693
## 424 7.86 92 2.9 196.24726 8212264
## 434 5.72 76 2.0 NA NA
## 449 NA 93 0.2 2954.11947 532913
## 450 4.76 95 0.2 3529.61843 526437
## 451 4.29 93 0.2 3558.79631 5216
## 452 4.61 94 0.3 348.48276 513979
## 453 4.60 9 0.3 367.42945 5867
## 454 4.83 99 0.4 3312.82598 52384
## 455 4.24 99 0.4 3444.55660 496963
## 456 3.96 99 0.4 3638.95946 491723
## 457 4.30 98 0.6 3112.28571 486438
## 458 5.11 96 0.6 234.28992 48795
## 459 4.86 95 0.8 248.13459 474567
## 460 5.60 93 0.8 1976.45856 467664
## 461 5.00 92 0.9 1768.92132 46147
## 462 5.17 91 0.8 1373.51564 45216
## 469 5.64 88 0.3 882.49146 14537886
## 473 3.75 82 0.9 631.67579 13676693
## 486 5.28 84 5.5 1182.86923 1997495
## 491 4.75 8 7.4 952.18725 1742795
## 494 4.86 66 7.8 676.39766 1684886
## 495 4.70 63 7.9 614.67293 15671927
## 497 NA 91 0.1 43315.74400 3584861
## 498 1.45 91 0.1 544.43376 35544564
## 499 1.67 91 0.1 52413.72116 35155451
## 500 1.78 95 0.1 52496.69487 3475545
## 501 1.82 87 0.1 5282.21760 3434278
## 502 11.20 89 0.1 47447.47620 345274
## 503 11.17 91 0.1 4773.45436 33628571
## 504 1.30 92 0.1 46596.33599 33245773
## 505 9.83 94 0.1 44544.52680 32887928
## 506 9.75 95 0.1 4386.69948 325755
## 507 9.57 93 0.1 36189.58838 32312
## 508 9.56 91 0.1 31979.87195 31995
## 509 9.54 91 0.1 28172.14883 31676
## 510 9.37 88 0.1 24167.84310 31362
## 511 9.10 89 0.1 23691.59472 31819
## 512 8.67 89 0.1 24124.16917 37697
## 522 3.99 51 10.0 347.67368 421758
## 525 4.31 47 12.8 286.25819 3981665
## 526 4.16 44 13.4 253.76834 397612
## 527 3.95 4 13.9 243.15865 383223
## 528 4.24 37 14.3 243.54293 3754986
## 535 3.31 24 4.4 84.45594 1152786
## 539 3.91 25 5.2 66.24214 1679
## 540 5.72 21 5.2 454.67659 97143
## 541 5.49 23 5.1 292.59144 935321
## 542 8.33 25 5.0 22.85482 91689
## 543 6.90 26 4.8 197.31564 866312
## 544 6.28 36 4.6 166.23179 8342559
## 545 NA 96 0.1 13653.22640 17762681
## 546 7.79 95 0.1 14817.37778 17613798
## 547 7.53 91 0.1 15941.39722 17462982
## 548 7.24 9 0.1 15431.92930 1739746
## 549 7.00 94 0.1 1475.69242 17153357
## 550 6.97 92 0.1 1286.17764 16993354
## 551 7.39 94 0.1 1243.32824 16829442
## 552 6.87 95 0.1 1781.36680 16661942
## 553 6.35 96 0.1 1526.87746 16491687
## 554 6.18 94 0.1 9484.68123 16319792
## 555 6.69 91 0.1 7615.34680 1614764
## 556 6.93 93 0.1 621.82832 15973778
## 557 7.34 96 0.1 4787.69953 15799542
## 558 6.48 97 0.1 4463.54587 15623635
## 559 6.51 97 0.1 4595.66633 15444969
## 560 6.40 91 0.1 511.36848 15262754
## 561 NA 99 0.1 869.21194 137122
## 562 5.55 99 0.1 7683.52380 136427
## 563 5.39 99 0.1 777.77594 135738
## 564 5.26 99 0.1 6337.88299 135695
## 565 5.30 99 0.1 5633.79616 134413
## 566 4.89 99 0.1 456.51249 133775
## 567 5.80 99 0.1 3838.43429 133126
## 568 4.59 97 0.1 3471.24755 1324655
## 569 4.32 93 0.1 2695.36622 1317885
## 570 4.52 93 0.1 299.22968 13112
## 571 4.66 87 0.1 1753.41780 13372
## 572 4.72 87 0.1 158.66846 129675
## 573 4.82 86 0.1 1288.64292 12884
## 574 4.79 86 0.1 1148.58570 1284
## 575 4.56 86 0.1 153.18240 127185
## 576 4.60 85 0.1 959.37218 1262645
## 577 NA 91 0.1 644.52556 48228697
## 578 7.20 9 0.1 7913.38343 47791911
## 579 6.84 91 0.1 83.58630 47342981
## 580 6.93 91 0.1 7884.98443 46881475
## 581 6.64 85 0.1 7227.73968 4646646
## 582 6.76 88 0.1 625.65544 4591897
## 583 7.10 92 0.1 5148.42211 45416181
## 584 6.62 92 0.1 5433.72450 4491544
## 585 6.25 93 0.1 4674.21961 44374572
## 586 6.11 93 0.1 379.78776 43835722
## 587 5.82 93 0.1 3386.25600 43285634
## 588 5.37 89 0.1 274.24944 42724163
## 589 5.92 92 0.1 2246.25747 42152151
## 594 6.75 87 0.8 852.95438 759385
## 620 2.56 67 6.3 NA NA
## 626 NA 92 0.1 1146.36273 487852
## 627 9.31 91 0.1 1647.44179 4757575
## 628 9.47 95 0.1 1569.66631 47641
## 629 9.56 91 0.1 9985.36959 4654122
## 630 9.73 85 0.1 9186.59639 46474
## 631 9.66 88 0.1 8199.41462 454528
## 632 9.69 86 0.1 689.39622 4488263
## 633 9.10 9 0.1 6911.13614 442958
## 634 8.37 89 0.1 612.62342 4369469
## 635 7.82 89 0.1 5245.18737 438794
## 636 7.74 91 0.1 4697.11135 4247841
## 637 7.80 9 0.1 4425.57467 418738
## 638 8.45 88 0.1 4167.71417 4125971
## 639 8.23 94 0.1 462.14965 46324
## 640 7.25 91 0.1 3981.52847 3996798
## 641 7.12 88 0.1 388.36369 3925443
## 642 NA 94 0.1 11579.66740 42364
## 643 7.80 95 0.1 13467.46827 4238389
## 644 7.83 96 0.1 13574.74900 4255689
## 645 7.80 96 0.1 13235.97757 4267558
## 646 7.80 96 0.1 14539.18421 428622
## 647 8.25 97 0.1 1355.74586 4417781
## 648 8.18 96 0.1 14157.14416 442978
## 649 7.70 96 0.1 15893.86560 443458
## 650 7.44 96 0.1 13546.69872 4436
## 651 6.95 96 0.1 11363.41845 444
## 652 6.89 96 0.1 1224.24590 4442
## 653 6.56 96 0.1 9365.74247 4439
## 654 6.35 94 0.1 785.88142 444
## 655 6.19 95 0.1 653.71637 444
## 656 7.16 94 0.1 5245.42142 444
## 657 7.66 93 0.1 4919.62869 4426
## 658 NA 99 0.1 762.26122 NA
## 659 11.60 99 0.1 75.51990 NA
## 660 9.48 99 0.1 676.15344 NA
## 661 8.59 99 0.1 6425.94112 NA
## 662 1.60 97 0.1 675.92436 NA
## 663 1.19 96 0.1 5676.14143 NA
## 664 11.78 96 0.1 5484.77630 NA
## 665 1.79 95 0.1 5376.44762 NA
## 666 1.42 93 0.1 5184.49423 NA
## 667 7.67 89 0.1 4669.69160 NA
## 668 9.39 89 0.1 3779.57700 NA
## 669 6.14 88 0.1 339.71626 NA
## 670 6.31 72 0.1 3192.66938 NA
## 671 6.50 99 0.1 2994.33999 NA
## 672 6.27 98 0.1 2832.18889 NA
## 673 6.70 95 0.1 2741.11542 NA
## 674 NA 97 0.1 2375.11270 116985
## 675 7.37 99 0.1 2734.88382 115239
## 676 7.46 99 0.1 2797.96736 1143896
## 677 7.44 99 0.1 28951.15556 113562
## 678 7.54 99 0.1 32233.83942 1124835
## 679 7.23 99 0.1 3818.46396 111267
## 680 7.40 99 0.1 3215.81590 19876
## 681 6.89 97 0.1 3539.74880 181563
## 682 6.50 97 0.1 31386.63265 163712
## 683 6.28 97 0.1 27169.99256 14559
## 684 6.37 98 0.1 25324.48666 127658
## 685 6.42 98 0.1 23932.49128 1141
## 686 6.83 98 0.1 2293.47890 993563
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## 1550 8.20 99 0.1 75716.35180 45895
## 1551 7.67 98 0.1 65445.88530 45163
## 1552 8.27 99 0.1 5293.64115 446175
## 1553 7.40 99 0.1 48179.42850 441525
## 1554 7.48 99 0.1 48735.99549 4363
## 1555 NA 69 0.3 41.85760 2423488
## 1557 4.15 74 0.4 461.72372 22961146
## 1574 12.60 96 8.3 374.51882 169735
## 1581 8.20 93 22.4 28.36738 1339711
## 1584 4.82 64 24.7 29.97990 1213711
## 1587 NA 99 0.1 9643.64468 3723155
## 1588 4.17 97 0.1 11183.96191 322817
## 1589 4.20 97 0.1 1882.27842 2976724
## 1590 4.10 97 0.1 1779.49641 2917456
## 1591 3.89 96 0.1 145.12620 28635128
## 1592 3.99 96 0.1 971.35699 28112289
## 1593 3.97 97 0.1 7326.74443 2765383
## 1594 3.47 97 0.1 8513.62954 2711169
## 1595 3.61 97 0.1 7269.17114 26625845
## 1596 3.65 95 0.1 6222.98296 26143566
## 1597 3.29 96 0.1 5593.82300 25659393
## 1598 3.74 95 0.1 4955.47774 2517419
## 1599 3.95 96 0.1 4463.67589 2468873
## 1600 3.40 94 0.1 4167.36439 24198811
## 1601 3.40 96 0.1 3915.11546 2369897
## 1602 3.40 98 0.1 445.17471 2318568
## 1603 NA 99 0.1 8395.78520 49163
## 1604 13.73 99 0.1 7716.24150 41
## 1605 11.16 99 0.1 7112.33575 393
## 1606 9.16 99 0.1 6541.74650 385
## 1607 8.11 96 0.1 6497.55443 377
## 1608 7.93 96 0.1 633.79498 367
## 1609 9.22 98 0.1 597.16590 36
## 1610 9.30 98 0.1 5828.62137 362
## 1611 6.64 98 0.1 52.86228 349
## 1612 7.37 98 0.1 4428.52290 333
## 1613 9.52 98 0.1 3488.49377 321
## 1614 5.89 96 0.1 3853.33348 312
## 1615 5.90 98 0.1 3432.24784 34
## 1616 5.78 98 0.1 32.37239 297
## 1617 5.84 98 0.1 298.67598 292
## 1618 8.00 98 0.1 2182.99711 286
## 1622 6.47 66 1.5 777.34769 16667
## 1629 6.34 77 1.9 487.94256 12798763
## 1632 6.32 61 2.3 334.22416 11638929
## 1633 6.39 49 2.4 36.84732 11293258
## 1634 6.29 43 2.5 269.34838 196769
## 1635 NA 97 0.1 23819.46360 431874
## 1636 9.75 99 0.1 2618.92599 427364
## 1637 9.89 99 0.1 2393.18880 423374
## 1638 9.95 99 0.1 2193.88360 419455
## 1639 9.60 96 0.1 22821.84700 416268
## 1640 8.30 76 0.1 2187.79469 41458
## 1641 8.33 73 0.1 2675.58259 412477
## 1642 8.15 72 0.1 21928.76700 49379
## 1643 8.36 74 0.1 19375.56960 46724
## 1644 8.93 85 0.1 16671.56720 4538
## 1645 8.83 92 0.1 15835.34667 43834
## 1646 8.46 89 0.1 1519.54970 41268
## 1647 8.60 94 0.1 13689.98999 398582
## 1648 7.86 95 0.1 11843.93920 395969
## 1649 7.11 95 0.1 1121.78636 39328
## 1650 6.83 94 0.1 1139.56510 3987
## 1652 NA 73 0.9 1158.25647 4182341
## 1653 3.77 84 0.9 1326.66882 46392
## 1654 3.63 8 1.1 145.57838 394617
## 1655 3.36 8 1.2 1364.28374 383239
## 1667 5.26 51 1.1 477.47612 279359
## 1668 NA 97 0.1 9252.11724 126265
## 1669 4.81 97 0.1 1153.93822 126934
## 1670 4.82 98 0.1 9637.26500 1258653
## 1684 NA 87 0.1 9143.12849 12589949
## 1685 6.30 87 0.1 1452.27766 1242216
## 1686 6.30 83 0.1 1298.86766 122535969
## 1687 6.21 99 0.1 982.53257 1282837
## 1688 6.40 97 0.1 9834.47269 119917
## 1689 6.39 95 0.1 8959.58142 117318941
## 1690 6.60 95 0.1 7748.12331 11555228
## 1691 6.60 96 0.1 9689.52887 11366189
## 1692 5.92 98 0.1 933.34169 111836346
## 1693 5.83 98 0.1 8767.92258 1192378
## 1694 6.40 98 0.1 7986.79844 18472228
## 1695 6.11 98 0.1 7199.59665 16995583
## 1696 6.20 98 0.1 6751.99899 1564453
## 1697 5.52 97 0.1 716.82190 1435568
## 1698 5.35 97 0.1 731.37886 136768
## 1699 4.98 97 0.1 672.92113 11719673
## 1712 9.69 92 0.1 NA NA
## 1713 8.20 84 0.1 NA NA
## 1722 4.70 96 0.1 265.35366 271265
## 1725 5.60 95 0.1 1634.81431 259167
## 1733 NA 89 0.1 6461.19255 622159
## 1734 6.42 91 0.1 7378.34529 62181
## 1735 6.43 94 0.1 7186.42979 62127
## 1736 7.25 94 0.1 6586.71929 6261
## 1737 6.92 95 0.1 7318.74245 6279
## 1738 6.90 94 0.1 6682.28116 619428
## 1739 6.70 92 0.1 6698.79439 618294
## 1740 6.13 95 0.1 7325.73474 616969
## 1741 6.74 92 0.1 5957.14569 615875
## 1742 8.10 9 0.1 4383.59597 61525
## 1743 8.46 NA 0.1 3674.61792 614261
## 1744 8.45 NA 0.1 338.19954 613353
## 1745 8.91 NA 0.1 2789.17350 612267
## 1746 8.33 NA 0.1 216.24327 69828
## 1747 8.23 NA 0.1 199.58396 67389
## 1748 7.32 NA 0.1 1627.42893 6495
## 1749 NA 99 0.1 2847.28557 3483322
## 1750 5.91 99 0.1 3154.51348 3431882
## 1751 5.94 99 0.1 3111.76289 33824769
## 1752 6.15 99 0.1 294.74673 33333789
## 1753 5.99 99 0.1 339.91616 32858823
## 1754 5.86 99 0.1 2834.24720 3249639
## 1755 5.67 99 0.1 2861.55450 31989897
## 1756 5.41 99 0.1 2884.94776 31596855
## 1757 5.48 95 0.1 2494.35355 31225881
## 1758 5.23 97 0.1 2191.47857 3869346
## 1759 5.60 98 0.1 213.75556 35217
## 1760 5.22 97 0.1 1948.81227 3179285
## 1761 5.25 91 0.1 1721.97386 29843937
## 1762 5.31 94 0.1 1413.75718 29512368
## 1764 4.18 95 0.1 1332.38236 28849621
## 1767 5.90 78 5.1 65.98568 26434372
## 1768 5.58 76 6.9 566.51387 2567666
## 1769 6.23 76 9.6 526.53135 249395
## 1770 5.38 74 10.8 419.22581 2422145
## 1771 5.43 74 11.3 463.85262 2352463
## 1772 4.91 75 12.6 53.12772 22846758
## 1779 5.64 73 13.4 256.44149 18588758
## 1780 6.16 7 12.2 277.64866 1867687
## 1782 2.28 88 0.3 1262.89378 51924182
## 1783 2.16 75 0.4 1168.83947 51448196
## 1784 2.22 84 0.5 1171.58257 5986514
## 1785 1.87 84 0.5 1186.42394 555331
## 1786 1.92 9 0.5 987.73658 5155896
## 1790 1.78 82 0.6 296.97284 48846474
## 1803 8.50 83 8.7 4153.49788 21374
## 1812 6.11 79 22.8 257.99557 1899257
## 1823 5.70 89 0.2 348.63145 2594618
## 1824 5.72 75 0.2 317.89198 2564287
## 1826 5.48 78 0.1 253.72412 2495623
## 1828 5.36 72 0.1 248.61835 24161777
## 1830 NA 95 0.1 44292.88473 16939923
## 1831 1.90 96 0.1 52157.46870 168658
## 1832 11.40 97 0.1 51574.48942 1684432
## 1833 11.10 97 0.1 49474.75610 16754962
## 1834 1.53 97 0.1 5354.65360 1669374
## 1835 1.48 97 0.1 5338.25483 16615394
## 1836 1.29 97 0.1 519.34900 1653388
## 1837 9.57 97 0.1 56928.82480 16445593
## 1838 9.36 97 0.1 51241.31562 16381696
## 1839 9.36 96 0.1 44453.97119 1634611
## 1840 9.60 96 0.1 41577.16900 16319868
## 1841 8.52 98 0.1 39954.64222 16281779
## 1842 8.46 98 0.1 35245.16470 1622532
## 1843 8.34 97 0.1 28817.32321 16148929
## 1844 7.79 97 0.1 26584.12169 164618
## 1845 7.42 97 0.1 25921.12794 15925513
## 1846 NA 92 0.1 3821.89370 NA
## 1847 11.30 93 0.1 4453.24673 NA
## 1848 11.17 92 0.1 42889.88141 NA
## 1849 11.53 93 0.1 3997.25624 NA
## 1850 11.24 95 0.1 38426.55810 NA
## 1851 11.20 93 0.1 33691.34837 NA
## 1852 11.21 92 0.1 282.94193 NA
## 1853 1.70 89 0.1 31287.77865 NA
## 1854 8.35 88 0.1 3259.73471 NA
## 1855 8.65 89 0.1 2667.86452 NA
## 1856 8.25 89 0.1 2775.89515 NA
## 1857 7.89 89 0.1 2542.39935 NA
## 1858 7.71 9 0.1 21913.78170 NA
## 1859 7.89 9 0.1 16874.31232 NA
## 1860 7.58 9 0.1 13882.85683 NA
## 1861 7.47 9 0.1 13641.12720 NA
## 1862 NA 98 0.1 295.96649 68235
## 1863 9.40 98 0.1 1975.46477 613997
## 1866 6.39 98 0.1 1682.95792 58782
## 1871 6.33 88 0.3 124.99262 545211
## 1878 NA 65 0.4 358.99731 19896965
## 1890 6.23 41 1.6 215.85480 1265687
## 1904 4.11 36 5.4 87.89387 138939478
## 1905 4.33 33 5.4 648.81585 135393616
## 1906 4.50 29 5.4 512.65719 131972533
## 1907 2.43 25 5.3 459.45721 12866671
## 1908 3.25 27 5.1 351.79967 125463434
## 1909 2.84 29 4.9 379.11933 1223529
## 1911 NA 95 0.1 7455.24654 518867
## 1912 9.72 93 0.1 975.49856 5137232
## 1913 9.39 94 0.1 1291.43500 579623
## 1914 9.16 95 0.1 11563.72700 518573
## 1915 9.14 94 0.1 1574.98610 495388
## 1916 9.26 93 0.1 87646.75346 4889252
## 1917 9.49 94 0.1 817.77681 4828726
## 1918 8.40 94 0.1 9688.59610 4768212
## 1919 8.58 93 0.1 85128.65759 479153
## 1920 8.43 94 0.1 74114.69715 466677
## 1921 8.89 91 0.1 66775.39440 4623291
## 1922 9.44 92 0.1 5757.26916 459191
## 1923 9.85 92 0.1 5111.65445 4564855
## 1924 9.62 93 0.1 4361.15380 4538159
## 1925 8.65 91 0.1 38549.58934 4513751
## 1926 8.27 9 0.1 38146.71539 449967
## 1927 NA 99 0.1 16627.36433 NA
## 1928 3.55 99 0.1 2458.45226 NA
## 1929 2.76 98 0.1 21268.75640 NA
## 1930 2.52 98 0.1 22134.91600 NA
## 1931 2.49 99 0.1 2986.36000 NA
## 1932 2.74 99 0.1 1928.74739 NA
## 1933 2.83 98 0.1 16784.34616 NA
## 1934 2.10 99 0.1 2275.35360 NA
## 1935 2.43 99 0.1 1585.13226 NA
## 1936 2.31 98 0.1 1448.55000 NA
## 1937 2.59 99 0.1 12376.97936 NA
## 1938 2.98 99 0.1 1129.28886 NA
## 1939 3.17 99 0.1 969.81260 NA
## 1940 3.18 99 0.1 8629.11774 NA
## 1941 3.80 99 0.1 8476.61511 NA
## 1942 3.70 99 0.1 861.18596 NA
## 1953 2.91 77 0.1 711.46995 15399667
## 1958 2.79 62 0.1 533.86241 138523285
## 1960 NA 73 0.1 13134.43670 3969249
## 1961 8.30 8 0.1 12593.73740 393986
## 1962 8.90 8 0.1 11685.97983 3838462
## 1963 7.25 85 0.1 1589.82713 3772938
## 1964 7.50 87 0.1 927.72317 377782
## 1965 8.50 94 0.1 7937.25993 3643222
## 1966 7.56 85 0.1 7429.62827 3579385
## 1967 6.75 86 0.1 6973.92840 3516268
## 1968 6.31 85 0.2 668.86670 345387
## 1969 7.00 88 0.1 5348.51840 339195
## 1970 7.48 92 0.1 4916.54886 333465
## 1971 8.90 95 0.2 4591.89278 3269541
## 1972 7.60 98 0.1 4267.13578 329174
## 1973 8.30 99 0.2 4126.14671 3149265
## 1974 7.72 99 0.1 446.37283 389684
## 1975 7.76 98 0.2 46.29935 33347
## 1983 4.60 63 1.3 1178.72469 6787187
## 1986 6.42 72 1.5 77.57735 631479
## 1992 NA 93 0.2 419.36772 6639119
## 1993 9.81 87 0.2 4712.82274 6552584
## 1994 1.49 86 0.2 4479.95858 646574
## 1995 1.33 87 0.1 3855.53773 6379219
## 1996 9.42 89 0.1 3988.11894 6293783
## 2006 7.61 89 0.1 1417.26582 546624
## 2008 NA 9 0.1 63.34326 31376671
## 2009 5.47 88 0.1 6491.52450 3973354
## 2010 5.23 88 0.1 6583.11625 3565716
## 2011 5.18 95 0.1 6387.78528 3158966
## 2012 4.93 91 0.2 5771.56588 29759989
## 2013 5.30 93 0.2 522.49319 29373646
## 2014 5.36 93 0.3 4166.93387 29157
## 2015 4.73 93 0.3 428.87811 2864198
## 2016 4.60 93 0.3 3611.21470 28292724
## 2017 4.47 94 0.4 3171.49856 27949944
## 2018 4.72 77 0.4 2754.78290 276141
## 2021 4.94 95 0.4 259.19296 2661467
## 2022 4.98 9 0.5 1981.24365 26261363
## 2040 NA 98 0.1 12565.98760 37986412
## 2041 6.35 98 0.1 14341.67500 3811735
## 2042 6.40 99 0.1 1378.54911 384196
## 2043 6.62 99 0.1 13145.14840 3863164
## 2044 6.70 99 0.1 13893.18768 3863255
## 2045 6.88 99 0.1 12599.52486 3842794
## 2046 7.12 99 0.1 11527.59323 3815163
## 2047 6.88 99 0.1 141.44688 38125759
## 2048 6.28 99 0.1 1126.31852 381256
## 2049 6.17 99 0.1 94.77260 38141267
## 2050 6.20 99 0.1 821.25157 38165445
## 2051 6.19 99 0.1 6681.17882 38182222
## 2052 6.22 99 0.1 5693.52416 382457
## 2053 6.32 99 0.1 5196.93292 3823364
## 2054 5.86 98 0.1 4981.19862 3824876
## 2056 NA 98 0.1 1922.68100 135876
## 2057 9.50 98 0.1 2277.53613 14162
## 2058 9.55 98 0.1 21618.73534 1457295
## 2059 9.74 98 0.1 2577.42640 1514844
## 2060 1.70 97 0.1 23196.18375 155756
## 2061 1.44 98 0.1 22538.65480 15731
## 2062 1.42 96 0.1 2363.97161 1568247
## 2063 9.90 97 0.1 24815.68840 1558177
## 2064 9.62 97 0.1 2278.58450 1542964
## 2065 9.67 97 0.1 19821.44463 1522288
## 2066 9.98 93 0.1 18784.94850 15333
## 2067 9.84 95 0.1 1845.58810 1483861
## 2068 9.54 99 0.1 15772.73340 1458821
## 2069 9.15 98 0.1 12882.28897 1419631
## 2070 9.10 97 0.1 11729.14616 1362722
## 2071 9.14 96 0.1 1152.39681 1289898
## 2072 NA 99 0.1 66346.52267 NA
## 2073 2.19 89 0.1 86852.71190 NA
## 2074 2.15 97 0.1 8834.87958 NA
## 2075 2.16 92 0.1 88564.82298 NA
## 2076 1.93 93 0.1 85948.74600 NA
## 2077 2.90 97 0.1 736.22784 NA
## 2078 2.63 99 0.1 61478.23813 NA
## 2079 1.87 97 0.1 82967.37228 NA
## 2080 2.31 94 0.1 675.61258 NA
## 2081 2.58 96 0.1 6256.55926 NA
## 2082 3.10 97 0.1 51488.49529 NA
## 2083 3.61 96 0.1 41818.35256 NA
## 2084 4.14 92 0.1 34176.98183 NA
## 2085 2.71 96 0.1 2999.65492 NA
## 2086 2.56 93 0.1 2843.63635 NA
## 2087 2.18 8 0.1 29986.29150 NA
## 2088 NA 98 0.1 NA NA
## 2089 7.37 99 0.1 NA NA
## 2090 7.20 99 0.1 NA NA
## 2091 7.10 99 0.1 NA NA
## 2092 6.83 99 0.1 NA NA
## 2093 6.79 94 0.1 NA NA
## 2094 6.66 94 0.1 NA NA
## 2095 6.16 94 0.1 NA NA
## 2096 5.99 91 0.1 NA NA
## 2097 5.76 98 0.1 NA NA
## 2098 5.33 96 0.1 NA NA
## 2099 4.96 88 0.1 NA NA
## 2100 4.93 97 0.1 NA NA
## 2101 4.61 97 0.1 NA NA
## 2102 4.76 97 0.1 NA NA
## 2103 4.23 97 0.1 NA NA
## 2120 NA 89 0.1 8958.78859 19815481
## 2121 5.57 94 0.1 12.27733 1998979
## 2122 5.60 92 0.1 9585.26659 19983693
## 2123 5.48 91 0.1 8558.39766 25835
## 2124 5.53 89 0.1 92.27783 2147528
## 2145 5.30 98 0.3 692.19440 14349528
## 2150 5.67 96 0.3 21.36239 14597683
## 2151 5.42 96 0.2 1771.58662 146596557
## 2153 7.53 98 0.4 76.56995 11345357
## 2157 7.91 97 2.3 563.49149 1246842
## 2162 6.83 95 7.1 287.93188 8991735
## 2164 6.34 96 8.1 212.66195 868346
## 2169 NA 99 0.1 NA NA
## 2170 6.72 99 0.1 NA NA
## 2171 7.85 99 0.1 NA NA
## 2172 8.35 98 0.1 NA NA
## 2173 7.58 99 0.1 NA NA
## 2174 8.10 97 0.1 NA NA
## 2175 8.12 95 0.1 NA NA
## 2176 7.43 96 0.1 NA NA
## 2179 6.25 95 0.2 NA NA
## 2189 4.99 96 0.1 NA NA
## 2193 3.92 99 0.3 NA NA
## 2201 NA 66 0.1 4149.36344 193759
## 2202 7.22 63 0.1 4178.97337 19229
## 2203 6.91 67 0.1 4219.65123 19757
## 2204 5.20 64 0.1 4234.55444 189194
## 2205 5.80 65 0.1 3942.98270 187665
## 2206 5.70 62 0.1 3453.48743 18625
## 2208 4.52 26 0.1 359.82223 183526
## 2209 5.25 53 0.1 322.54312 182286
## 2211 4.47 49 0.1 2571.26235 179929
## 2216 5.31 95 0.1 154.68923 17461
## 2218 NA 96 0.2 1624.63963 195553
## 2223 5.24 98 0.5 1129.75496 174776
## 2224 6.65 98 0.9 199.57146 17813
## 2227 7.84 97 1.2 843.89447 159328
## 2234 NA 98 0.1 2732.86172 NA
## 2235 4.68 98 0.1 24575.43400 NA
## 2236 4.25 98 0.1 24934.38614 NA
## 2237 3.86 98 0.1 2533.94620 NA
## 2238 3.57 98 0.1 2377.74739 NA
## 2239 3.49 98 0.1 19259.58726 NA
## 2240 4.90 98 0.1 1694.29310 NA
## 2241 2.87 98 0.1 237.83234 NA
## 2242 3.49 96 0.1 16472.16650 NA
## 2243 3.55 96 0.1 15334.66994 NA
## 2244 3.42 96 0.1 13739.82945 NA
## 2245 3.58 96 0.1 11138.87460 NA
## 2246 4.20 95 0.1 9567.45829 NA
## 2247 4.28 95 0.1 8655.31153 NA
## 2248 4.49 97 0.1 8643.49440 NA
## 2249 4.24 95 0.1 9126.95428 NA
## 2253 4.31 91 0.4 136.45180 1373513
## 2254 4.42 92 0.4 18.25321 13391
## 2258 4.72 94 0.7 95.39785 11873557
## 2265 4.63 52 0.5 473.45338 988452
## 2266 NA 95 0.1 5237.25533 795383
## 2267 1.37 93 0.1 62.17322 713576
## 2268 1.12 95 0.1 6353.82638 7164132
## 2269 9.89 91 0.1 5659.38240 719977
## 2270 9.72 94 0.1 6423.29178 723499
## 2271 1.90 91 0.1 5411.87744 7291436
## 2272 9.90 95 0.1 5821.35397 73287
## 2273 1.50 95 0.1 671.77391 735222
## 2274 1.20 94 0.1 5458.12172 7381579
## 2275 8.99 92 0.1 4129.75874 7411569
## 2276 8.70 98 0.1 3528.13180 744769
## 2277 8.24 88 0.1 3331.22877 7463157
## 2278 8.13 89 0.1 2832.49652 748591
## 2279 8.90 95 0.1 2149.99440 7496522
## 2280 6.89 93 0.1 1634.87561 753433
## 2281 6.53 95 0.1 87.13653 7516346
## 2283 3.37 99 0.1 1557.77892 91359
## 2287 3.59 99 0.1 184.68447 8977
## 2300 11.59 92 0.8 71.81870 692279
## 2306 1.12 64 2.2 358.82747 615417
## 2308 12.25 65 2.2 287.68919 5658379
## 2310 11.69 73 1.9 263.76183 5199549
## 2314 NA 96 0.1 53629.73746 NA
## 2315 4.92 96 0.1 56336.72340 NA
## 2316 4.53 97 0.1 5629.18914 NA
## 2317 4.22 97 0.1 54431.16199 NA
## 2318 3.93 96 0.1 53166.67581 NA
## 2319 3.96 96 0.1 46569.67951 NA
## 2320 4.27 97 0.1 38577.55822 NA
## 2321 3.91 97 0.1 39721.48180 NA
## 2322 3.46 97 0.1 39223.58187 NA
## 2323 3.66 95 0.1 33579.85948 NA
## 2324 3.74 96 0.1 29869.85398 NA
## 2325 3.17 95 0.1 2745.27136 NA
## 2326 3.63 96 0.1 23573.62840 NA
## 2327 2.84 94 0.1 2216.83279 NA
## 2328 2.37 96 0.1 21577.78230 NA
## 2329 2.71 98 0.1 23792.67700 NA
## 2330 NA 96 0.1 NA NA
## 2331 8.50 97 0.1 NA NA
## 2332 8.00 98 0.1 NA NA
## 2333 8.15 99 0.1 NA NA
## 2334 7.96 99 0.1 NA NA
## 2335 8.51 99 0.1 NA NA
## 2336 9.15 99 0.1 NA NA
## 2337 8.20 99 0.1 NA NA
## 2338 7.76 99 0.1 NA NA
## 2339 7.35 99 0.1 NA NA
## 2340 7.40 99 0.1 NA NA
## 2341 7.21 99 0.1 NA NA
## 2342 5.82 99 0.1 NA NA
## 2343 5.63 99 0.1 NA NA
## 2344 5.50 99 0.1 NA NA
## 2345 5.50 99 0.1 NA NA
## 2346 NA 95 0.1 2729.86383 263531
## 2347 9.23 95 0.1 242.67286 26198
## 2348 9.29 95 0.1 2315.31799 259953
## 2349 9.37 96 0.1 22486.47167 257159
## 2350 9.80 96 0.1 24985.24827 252843
## 2351 9.70 96 0.1 23437.47220 248583
## 2352 9.38 96 0.1 24633.79785 239669
## 2353 8.47 97 0.1 2751.81270 221316
## 2354 7.98 97 0.1 23841.31792 218122
## 2355 8.42 97 0.1 19726.12650 26868
## 2356 8.50 95 0.1 18169.18910 2474
## 2357 8.47 94 0.1 1726.91510 199712
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## 2375 6.90 78 0.1 784.95629 435262
## 2386 NA 4 0.9 NA NA
## 2397 8.79 65 7.6 7548.16370 5256516
## 2425 NA NA 2.7 NA 67656
## 2426 NA 97 0.1 25683.84565 46447697
## 2427 9.30 97 0.1 296.47225 4648882
## 2428 9.10 96 0.1 2921.93420 466245
## 2429 9.39 97 0.1 28562.29324 4677355
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## 2482 5.92 84 0.8 5761.39536 5975
## 2484 6.78 83 0.6 3595.88550 498946
## 2496 8.46 88 33.7 332.51713 118675
## 2498 7.50 87 40.7 347.48798 1138434
## 2500 6.80 86 49.1 2873.86214 115873
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## 2518 9.31 99 0.1 36961.42537 8958229
## 2519 9.23 99 0.1 29571.74460 8924958
## 2520 8.86 99 0.1 26969.24457 889596
## 2521 8.18 99 0.1 29283.55000 887219
## 2522 NA 97 0.1 8989.84240 8282396
## 2523 11.66 96 0.1 85814.58857 8188649
## 2524 11.71 96 0.1 84658.88768 889346
## 2525 11.59 96 0.1 83164.38795 7996861
## 2526 11.21 96 0.1 87998.44468 7912398
## 2527 11.70 95 0.1 74276.71842 782499
## 2528 11.00 95 0.1 69672.47100 7743831
## 2529 1.29 95 0.1 72119.56870 7647675
## 2530 1.21 94 0.1 63223.46778 7551117
## 2531 1.39 94 0.1 57348.92788 7483934
## 2532 1.86 94 0.1 54797.54663 7437115
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## 2535 1.61 93 0.1 41336.72192 7284753
## 2536 1.28 93 0.1 38538.64447 7229854
## 2537 9.91 93 0.1 37813.23426 718425
## 2540 3.25 41 0.1 NA 1989141
## 2541 3.25 45 0.1 NA 24271
## 2543 3.28 8 0.1 NA 2118834
## 2544 3.55 8 0.1 NA 2824893
## 2545 3.40 79 0.1 NA 2325443
## 2546 3.72 8 0.1 258.35290 1963286
## 2547 3.78 8 0.1 1762.24617 18914977
## 2548 4.11 8 0.1 1577.45718 18294611
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## 2553 4.92 84 0.1 1177.62927 1641848
## 2570 NA 99 0.1 5814.86313 686576
## 2576 4.11 99 0.3 4212.54920 66881867
## 2586 NA 91 0.1 NA NA
## 2587 6.48 95 0.1 NA NA
## 2588 6.70 98 0.1 NA NA
## 2589 6.76 95 0.1 NA NA
## 2590 6.61 96 0.1 NA NA
## 2591 6.83 95 0.1 NA NA
## 2592 6.74 96 0.1 NA NA
## 2593 6.85 95 0.1 NA NA
## 2594 6.90 95 0.1 NA NA
## 2595 7.61 93 0.1 NA NA
## 2596 7.95 97 0.1 NA NA
## 2597 8.64 94 0.1 NA NA
## 2598 9.17 96 0.1 NA NA
## 2599 9.10 96 0.1 NA NA
## 2600 8.18 91 0.1 NA NA
## 2601 8.52 95 0.1 NA NA
## 2612 1.50 55 0.1 478.33186 126484
## 2614 2.48 55 0.1 471.45658 96852
## 2622 5.21 85 2.6 562.33936 6679282
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## 2644 6.52 89 0.1 2594.74999 1141
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## 2661 5.22 94 1.0 129.51914 129535
## 2666 NA 98 0.1 3828.91589 11273661
## 2667 7.00 98 0.1 4271.68172 1114398
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## 2682 NA 97 0.1 1979.52569 78271472
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## 2685 5.24 97 0.1 1172.38430 74569867
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## 2697 4.95 85 0.1 4316.55390 6324121
## 2701 1.96 97 0.1 6675.26295 5267839
## 2716 7.22 78 3.2 719.17267 38833338
## 2722 9.10 71 8.2 449.69282 31663896
## 2723 9.76 73 8.4 41.85863 359487
## 2724 9.86 64 8.6 336.45939 2955662
## 2727 7.54 59 9.4 237.99959 2662482
## 2732 7.10 23 0.2 314.65830 45271947
## 2734 7.47 76 0.2 3855.42128 455933
## 2735 6.98 5 0.2 3569.75727 45761
## 2747 NA 99 0.1 3911.74689 NA
## 2748 3.64 99 0.1 44449.74350 NA
## 2749 3.49 98 0.1 4335.64268 NA
## 2750 3.45 96 0.1 42112.23565 NA
## 2751 3.70 95 0.1 4462.31290 NA
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## 2753 4.50 93 0.1 3372.57517 NA
## 2754 2.93 92 0.1 45758.95540 NA
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## 2756 2.33 92 0.1 42372.22166 NA
## 2757 2.32 94 0.1 39439.81970 NA
## 2758 2.46 94 0.1 36161.17610 NA
## 2759 2.65 94 0.1 3323.52318 NA
## 2760 2.72 94 0.1 31311.35936 NA
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## 2762 2.38 94 0.1 3371.26869 NA
## 2763 NA 96 0.1 NA NA
## 2764 9.12 95 0.1 NA NA
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## 2772 8.36 92 0.1 NA NA
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## 2780 5.58 97 1.4 NA NA
## 2784 5.30 91 4.6 NA NA
## 2792 3.59 89 12.1 NA NA
## 2793 3.28 87 12.5 NA NA
## 2795 NA 95 0.1 NA NA
## 2796 17.14 95 0.1 NA NA
## 2797 16.90 94 0.1 NA NA
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## 2802 16.20 96 0.1 NA NA
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## 2808 14.55 94 0.1 NA NA
## 2809 13.73 94 0.1 NA NA
## 2810 13.70 94 0.1 NA NA
## 2811 NA 95 0.1 15524.84247 3431552
## 2812 8.58 95 0.1 16737.89827 3419546
## 2813 8.68 94 0.1 16881.25680 3485
## 2814 8.74 95 0.1 1592.68190 3396777
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## 2822 11.59 94 0.1 4117.38853 332496
## 2823 6.52 91 0.1 3622.52284 3325637
## 2824 7.18 95 0.1 488.76885 3327773
## 2825 7.46 94 0.1 6281.37747 332713
## 2826 7.82 9 0.1 6871.89768 3321245
## 2843 NA 64 0.1 285.83414 26463
## 2844 5.20 64 0.1 3148.36513 25885
## 2845 3.92 64 0.1 3167.34356 253142
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## 2858 3.28 71 0.1 1469.84915 18563
## 2875 NA 97 0.1 NA NA
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## 2888 4.70 75 0.2 NA NA
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## 2899 4.92 79 0.1 NA NA
## 2904 4.22 65 0.1 NA NA
## 2907 NA 9 4.1 1313.88965 161587
## 2914 4.87 87 11.9 1369.68249 1382517
## 2919 8.18 83 18.2 429.15834 11421984
## 2920 6.93 84 18.4 377.13524 111249
## 2931 4.47 73 23.7 396.99822 1332999
## 2932 5.12 7 26.8 414.79623 13124267
## 2936 6.53 71 39.8 57.34834 125525
## thinness..1.19.years thinness.5.9.years Income.composition.of.resources
## 14 19.9 2.2 0.341
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## 20 1.3 1.4 0.752
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## 434 5.6 5.6 NA
## 449 6.6 6.6 0.646
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## 451 6.9 6.9 0.643
## 452 7.1 7.1 0.636
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## 703 2.2 2.3 NA
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## 1548 0.9 0.9 0.880
## 1549 1.0 0.9 0.874
## 1550 1.0 0.9 0.867
## 1551 1.0 0.9 0.865
## 1552 1.0 0.9 0.860
## 1553 1.0 1.0 0.854
## 1554 1.0 1.0 0.848
## 1555 7.1 7.1 0.511
## 1557 7.3 7.2 0.508
## 1574 6.6 6.5 0.454
## 1581 7.4 7.2 0.371
## 1584 7.7 7.6 0.388
## 1587 7.5 7.3 0.787
## 1588 7.6 7.4 0.783
## 1589 7.8 7.6 0.779
## 1590 7.9 7.7 0.776
## 1591 8.0 7.8 0.774
## 1592 8.2 8.0 0.764
## 1593 8.3 8.2 0.756
## 1594 8.5 8.3 0.747
## 1595 8.7 8.5 0.736
## 1596 8.8 8.6 0.732
## 1597 9.0 8.8 0.734
## 1598 9.2 8.9 0.731
## 1599 9.3 9.1 0.724
## 1600 9.5 9.3 0.723
## 1601 9.7 9.4 0.725
## 1602 9.8 9.6 0.715
## 1603 13.6 13.6 0.701
## 1604 13.6 13.7 0.693
## 1605 13.7 13.8 0.683
## 1606 13.8 13.9 0.675
## 1607 13.9 14.0 0.663
## 1608 14.0 14.1 0.653
## 1609 14.1 14.2 0.651
## 1610 14.2 14.3 0.641
## 1611 14.3 14.4 0.632
## 1612 14.3 14.5 0.622
## 1613 14.4 14.5 0.625
## 1614 14.5 14.6 0.617
## 1615 14.6 14.7 0.601
## 1616 14.6 14.7 0.597
## 1617 14.7 14.8 0.587
## 1618 14.8 14.8 0.577
## 1622 8.3 8.1 0.411
## 1629 9.9 9.7 0.338
## 1632 1.5 1.5 0.308
## 1633 1.8 1.7 0.297
## 1634 11.0 1.9 0.291
## 1635 0.8 0.8 0.853
## 1636 0.8 0.8 0.847
## 1637 0.8 0.7 0.828
## 1638 0.8 0.7 0.821
## 1639 0.8 0.7 0.826
## 1640 0.8 0.7 0.819
## 1641 0.8 0.7 0.815
## 1642 0.7 0.7 0.813
## 1643 0.7 0.7 0.808
## 1644 0.7 0.7 0.809
## 1645 0.7 0.7 0.805
## 1646 0.7 0.7 0.797
## 1647 0.7 0.7 0.790
## 1648 0.7 0.7 0.786
## 1649 0.7 0.7 0.783
## 1650 0.8 0.7 0.779
## 1652 7.8 7.5 0.513
## 1653 8.0 7.7 0.509
## 1654 8.1 7.9 0.501
## 1655 8.3 8.1 0.491
## 1667 1.9 1.7 0.443
## 1668 6.9 6.8 0.779
## 1669 7.0 6.9 0.769
## 1670 7.0 7.0 0.765
## 1684 1.5 1.5 0.758
## 1685 1.6 1.5 0.754
## 1686 1.6 1.5 0.753
## 1687 1.6 1.5 0.748
## 1688 1.6 1.6 0.745
## 1689 1.6 1.6 0.739
## 1690 1.7 1.6 0.738
## 1691 1.7 1.6 0.735
## 1692 1.7 1.7 0.731
## 1693 1.8 1.7 0.723
## 1694 1.8 1.7 0.719
## 1695 1.8 1.8 0.714
## 1696 1.9 1.8 0.708
## 1697 1.9 1.8 0.703
## 1698 1.9 1.9 0.700
## 1699 2.0 1.9 0.694
## 1712 0.2 0.2 0.612
## 1713 0.2 0.2 0.608
## 1722 2.2 2.3 0.693
## 1725 2.2 2.4 0.661
## 1733 1.8 1.8 0.804
## 1734 1.8 1.9 0.803
## 1735 1.8 1.9 0.799
## 1736 1.9 1.9 0.797
## 1737 1.9 2.0 0.792
## 1738 2.0 2.0 0.787
## 1739 2.0 2.1 0.785
## 1740 2.1 2.1 0.774
## 1741 2.1 2.2 0.762
## 1742 2.2 2.2 0.751
## 1743 2.3 2.3 0.746
## 1744 2.3 2.4 0.740
## 1745 2.4 2.4 0.000
## 1746 2.5 2.5 0.000
## 1747 2.5 2.6 0.000
## 1748 2.6 2.7 0.000
## 1749 6.4 6.2 0.645
## 1750 6.4 6.2 0.640
## 1751 6.4 6.2 0.634
## 1752 6.3 6.2 0.623
## 1753 6.3 6.2 0.612
## 1754 6.3 6.2 0.603
## 1755 6.4 6.2 0.596
## 1756 6.4 6.3 0.589
## 1757 6.4 6.3 0.581
## 1758 6.4 6.3 0.575
## 1759 6.5 6.3 0.569
## 1760 6.5 6.4 0.561
## 1761 6.6 6.4 0.551
## 1762 6.6 6.5 0.540
## 1764 6.7 6.6 0.519
## 1767 3.6 3.5 0.405
## 1768 3.6 3.5 0.400
## 1769 3.7 3.6 0.397
## 1770 3.7 3.6 0.390
## 1771 3.7 3.6 0.382
## 1772 3.7 3.7 0.372
## 1779 4.1 4.0 0.298
## 1780 4.2 4.1 0.291
## 1782 12.9 13.1 0.547
## 1783 12.9 13.2 0.540
## 1784 13.0 13.2 0.533
## 1785 13.0 13.3 0.526
## 1786 13.1 13.3 0.515
## 1790 13.2 13.5 0.474
## 1803 1.9 1.9 0.598
## 1812 15.7 15.9 0.559
## 1823 17.4 18.0 0.476
## 1824 17.6 18.2 0.469
## 1826 18.0 18.6 0.457
## 1828 18.3 19.0 0.446
## 1830 1.0 0.9 0.923
## 1831 1.0 0.9 0.923
## 1832 1.0 0.9 0.922
## 1833 1.0 0.9 0.921
## 1834 1.0 0.9 0.911
## 1835 1.0 0.9 0.906
## 1836 1.0 0.9 0.906
## 1837 1.0 0.9 0.905
## 1838 1.0 1.0 0.899
## 1839 1.0 1.0 0.893
## 1840 1.0 1.0 0.888
## 1841 1.0 1.0 0.885
## 1842 1.1 1.0 0.881
## 1843 1.1 1.0 0.882
## 1844 1.1 1.1 0.878
## 1845 1.1 1.1 0.873
## 1846 0.4 0.3 0.913
## 1847 0.4 0.3 0.910
## 1848 0.3 0.3 0.908
## 1849 0.3 0.3 0.904
## 1850 0.3 0.3 0.901
## 1851 0.3 0.3 0.899
## 1852 0.3 0.3 0.895
## 1853 0.3 0.3 0.894
## 1854 0.3 0.3 0.891
## 1855 0.3 0.3 0.888
## 1856 0.3 0.3 0.886
## 1857 0.3 0.3 0.884
## 1858 0.3 0.3 0.881
## 1859 0.3 0.3 0.873
## 1860 0.3 0.3 0.868
## 1861 0.3 0.3 0.864
## 1862 1.8 1.7 0.642
## 1863 1.8 1.7 0.636
## 1866 1.8 1.8 0.620
## 1871 2.0 1.9 0.597
## 1878 9.6 9.4 0.351
## 1890 12.3 12.2 0.266
## 1904 12.9 12.9 0.463
## 1905 13.2 13.2 0.445
## 1906 13.5 13.6 0.000
## 1907 13.8 13.8 0.000
## 1908 14.1 14.1 0.000
## 1909 14.3 14.4 0.000
## 1911 0.8 0.7 0.948
## 1912 0.8 0.7 0.945
## 1913 0.8 0.7 0.942
## 1914 0.7 0.7 0.941
## 1915 0.7 0.7 0.939
## 1916 0.7 0.7 0.936
## 1917 0.7 0.7 0.936
## 1918 0.7 0.7 0.936
## 1919 0.7 0.7 0.934
## 1920 0.8 0.7 0.931
## 1921 0.8 0.7 0.929
## 1922 0.8 0.7 0.924
## 1923 0.8 0.7 0.918
## 1924 0.8 0.7 0.916
## 1925 0.8 0.7 0.917
## 1926 0.8 0.7 0.911
## 1927 7.1 6.9 0.795
## 1928 7.1 6.9 0.796
## 1929 7.0 6.8 0.796
## 1930 7.0 6.8 0.797
## 1931 6.9 6.8 0.797
## 1932 6.9 6.8 0.797
## 1933 6.9 6.8 0.782
## 1934 6.9 6.8 0.765
## 1935 7.0 6.8 0.753
## 1936 7.0 6.8 0.748
## 1937 7.0 6.8 0.742
## 1938 7.1 6.8 0.734
## 1939 7.1 6.8 0.725
## 1940 7.1 6.8 0.716
## 1941 7.1 6.9 0.705
## 1942 7.2 6.9 0.000
## 1953 21.2 21.7 0.487
## 1958 22.2 22.6 0.445
## 1960 1.9 1.8 0.785
## 1961 1.9 1.8 0.780
## 1962 1.9 1.9 0.773
## 1963 1.9 1.9 0.765
## 1964 2.0 1.9 0.758
## 1965 2.0 1.9 0.756
## 1966 2.0 1.9 0.755
## 1967 2.0 2.0 0.750
## 1968 2.1 2.0 0.743
## 1969 2.1 2.0 0.744
## 1970 2.1 2.1 0.740
## 1971 2.2 2.1 0.733
## 1972 2.2 2.2 0.728
## 1973 2.3 2.2 0.725
## 1974 2.3 2.3 0.721
## 1975 2.4 2.3 0.716
## 1983 1.4 1.3 0.469
## 1986 1.4 1.4 0.446
## 1992 2.0 1.9 0.692
## 1993 2.0 1.9 0.688
## 1994 2.0 1.9 0.679
## 1995 2.0 2.0 0.679
## 1996 2.1 2.0 0.675
## 2006 2.5 2.4 0.624
## 2008 1.1 1.1 0.737
## 2009 1.1 1.1 0.735
## 2010 1.1 1.1 0.731
## 2011 1.1 1.1 0.725
## 2012 1.1 1.1 0.721
## 2013 1.1 1.1 0.708
## 2014 1.2 1.2 0.706
## 2015 1.2 1.2 0.700
## 2016 1.2 1.2 0.696
## 2017 1.2 1.2 0.693
## 2018 1.3 1.3 0.692
## 2021 1.4 1.4 0.686
## 2022 1.4 1.4 0.677
## 2040 1.9 2.0 0.852
## 2041 1.9 2.1 0.850
## 2042 2.0 2.1 0.838
## 2043 2.0 2.1 0.834
## 2044 2.0 2.2 0.829
## 2045 2.1 2.2 0.822
## 2046 2.1 2.3 0.818
## 2047 2.2 2.3 0.813
## 2048 2.2 2.4 0.808
## 2049 2.3 2.4 0.803
## 2050 2.3 2.5 0.797
## 2051 2.4 2.5 0.800
## 2052 2.4 2.6 0.796
## 2053 2.5 2.6 0.790
## 2054 2.5 2.7 0.784
## 2056 0.7 0.5 0.841
## 2057 0.7 0.5 0.837
## 2058 0.7 0.5 0.827
## 2059 0.7 0.5 0.824
## 2060 0.7 0.5 0.818
## 2061 0.7 0.5 0.812
## 2062 0.7 0.5 0.809
## 2063 0.7 0.5 0.804
## 2064 0.7 0.5 0.797
## 2065 0.7 0.5 0.793
## 2066 0.7 0.6 0.790
## 2067 0.7 0.6 0.792
## 2068 0.7 0.6 0.789
## 2069 0.8 0.6 0.788
## 2070 0.8 0.6 0.782
## 2071 0.8 0.6 0.777
## 2072 5.2 4.9 0.855
## 2073 5.2 4.8 0.854
## 2074 5.1 4.7 0.843
## 2075 5.1 4.7 0.837
## 2076 5.1 4.6 0.827
## 2077 5.0 4.6 0.825
## 2078 5.0 4.6 0.828
## 2079 5.0 4.5 0.825
## 2080 4.9 4.5 0.830
## 2081 4.9 4.5 0.835
## 2082 4.8 4.5 0.830
## 2083 4.8 4.5 0.826
## 2084 4.8 4.5 0.815
## 2085 4.8 4.5 0.807
## 2086 4.8 4.5 0.809
## 2087 4.8 4.5 0.808
## 2088 1.5 1.0 NA
## 2089 1.5 1.0 NA
## 2090 1.5 1.0 NA
## 2091 1.5 1.0 NA
## 2092 1.5 1.0 NA
## 2093 1.5 1.0 NA
## 2094 1.5 1.0 NA
## 2095 1.5 1.0 NA
## 2096 1.5 1.0 NA
## 2097 1.5 1.0 NA
## 2098 1.6 1.0 NA
## 2099 1.6 1.0 NA
## 2100 1.6 1.0 NA
## 2101 1.6 1.1 NA
## 2102 1.6 1.1 NA
## 2103 1.6 1.1 NA
## 2120 2.5 2.7 0.798
## 2121 2.6 2.8 0.797
## 2122 2.7 2.9 0.794
## 2123 2.8 3.0 0.797
## 2124 2.9 3.1 0.798
## 2145 2.4 2.7 0.754
## 2150 2.8 3.0 0.720
## 2151 2.9 3.0 0.709
## 2153 5.8 5.8 0.488
## 2157 6.5 6.3 0.454
## 2162 6.8 7.0 0.388
## 2164 7.0 7.3 0.359
## 2169 4.3 4.3 0.735
## 2170 4.3 4.3 0.723
## 2171 4.3 4.3 0.734
## 2172 4.3 4.3 0.735
## 2173 4.3 4.3 0.733
## 2174 4.3 4.3 0.724
## 2175 4.3 4.4 0.717
## 2176 4.3 4.4 0.710
## 2179 4.4 4.4 0.689
## 2189 3.5 3.5 0.712
## 2193 3.6 3.6 0.702
## 2201 0.2 0.1 0.702
## 2202 0.2 0.1 0.701
## 2203 0.2 0.1 0.700
## 2204 0.2 0.1 0.698
## 2205 0.2 0.1 0.693
## 2206 0.2 0.2 0.690
## 2208 0.2 0.2 0.688
## 2209 0.2 0.2 0.682
## 2211 0.2 0.2 0.671
## 2216 0.2 0.2 0.640
## 2218 5.5 5.3 0.565
## 2223 6.1 6.0 0.542
## 2224 6.3 6.2 0.533
## 2227 6.9 6.8 0.521
## 2234 7.8 7.6 0.845
## 2235 7.7 7.5 0.841
## 2236 7.6 7.5 0.830
## 2237 7.5 7.4 0.818
## 2238 7.4 7.4 0.804
## 2239 7.3 7.4 0.792
## 2240 7.3 7.3 0.787
## 2241 7.2 7.3 0.779
## 2242 7.2 7.3 0.773
## 2243 7.2 7.3 0.767
## 2244 7.2 7.3 0.761
## 2245 7.2 7.3 0.754
## 2246 7.2 7.3 0.747
## 2247 7.3 7.3 0.745
## 2248 7.3 7.3 0.742
## 2249 7.3 7.4 0.737
## 2253 1.0 9.9 0.463
## 2254 1.2 1.1 0.455
## 2258 11.0 1.9 0.425
## 2265 12.3 12.3 0.378
## 2266 2.0 2.0 0.775
## 2267 2.1 2.1 0.771
## 2268 2.1 2.1 0.766
## 2269 2.1 2.1 0.767
## 2270 2.2 2.2 0.757
## 2271 2.2 2.3 0.755
## 2272 2.3 2.3 0.754
## 2273 2.3 2.4 0.749
## 2274 2.4 2.4 0.743
## 2275 2.5 2.5 0.739
## 2276 2.5 2.6 0.730
## 2277 2.6 2.6 0.720
## 2278 2.7 2.7 0.715
## 2279 2.7 2.8 0.715
## 2280 2.8 2.8 0.709
## 2281 2.8 2.9 0.702
## 2283 5.7 6.0 0.766
## 2287 5.8 6.2 0.740
## 2300 7.7 7.6 0.413
## 2306 8.9 8.9 0.357
## 2308 9.3 9.3 0.341
## 2310 9.7 9.8 0.322
## 2314 2.2 2.2 0.924
## 2315 2.2 2.2 0.922
## 2316 2.2 2.2 0.920
## 2317 2.2 2.1 0.917
## 2318 2.1 2.1 0.911
## 2319 2.1 2.1 0.889
## 2320 2.1 2.1 0.887
## 2321 2.1 2.1 0.880
## 2322 2.1 2.0 0.873
## 2323 2.1 2.0 0.839
## 2324 2.1 2.0 0.821
## 2325 2.1 2.0 0.820
## 2326 2.1 2.0 0.819
## 2327 2.1 2.0 0.818
## 2328 2.1 2.0 0.820
## 2329 2.1 2.0 0.810
## 2330 1.2 1.2 0.842
## 2331 1.2 1.2 0.841
## 2332 1.2 1.3 0.838
## 2333 1.2 1.3 0.835
## 2334 1.2 1.3 0.829
## 2335 1.3 1.3 0.822
## 2336 1.3 1.4 0.820
## 2337 1.3 1.4 0.813
## 2338 1.3 1.4 0.802
## 2339 1.4 1.5 0.793
## 2340 1.4 1.5 0.784
## 2341 1.4 1.5 0.776
## 2342 1.5 1.6 0.771
## 2343 1.5 1.6 0.763
## 2344 1.5 1.6 0.763
## 2345 1.6 1.7 0.761
## 2346 1.4 1.3 0.888
## 2347 1.4 1.4 0.888
## 2348 1.4 1.4 0.878
## 2349 1.5 1.5 0.877
## 2350 1.6 1.6 0.876
## 2351 1.6 1.6 0.872
## 2352 1.7 1.7 0.873
## 2353 1.7 1.7 0.869
## 2354 1.8 1.8 0.865
## 2355 1.8 1.9 0.858
## 2356 1.9 2.0 0.853
## 2357 2.0 2.0 0.850
## 2358 2.0 2.1 0.843
## 2359 2.1 2.2 0.835
## 2360 2.2 2.2 0.824
## 2361 2.2 2.3 0.818
## 2370 1.2 1.2 0.482
## 2371 1.3 1.3 0.470
## 2372 1.3 1.3 0.465
## 2373 1.3 1.3 0.459
## 2375 1.4 1.4 0.446
## 2386 7.3 7.1 NA
## 2397 6.0 7.3 0.644
## 2425 NA NA 0.000
## 2426 0.6 0.5 0.882
## 2427 0.6 0.5 0.877
## 2428 0.6 0.5 0.874
## 2429 0.6 0.5 0.871
## 2430 0.6 0.5 0.867
## 2431 0.6 0.5 0.860
## 2432 0.6 0.5 0.858
## 2433 0.6 0.5 0.854
## 2434 0.6 0.5 0.849
## 2435 0.6 0.5 0.844
## 2436 0.6 0.5 0.837
## 2437 0.6 0.5 0.833
## 2438 0.6 0.5 0.830
## 2439 0.6 0.5 0.828
## 2440 0.6 0.5 0.825
## 2441 0.6 0.5 0.820
## 2442 15.1 15.0 0.764
## 2443 15.2 15.0 0.760
## 2444 15.2 15.1 0.757
## 2445 15.3 15.2 0.752
## 2446 15.3 15.3 0.746
## 2447 15.3 15.3 0.739
## 2450 15.4 15.5 0.725
## 2451 15.4 15.5 0.718
## 2452 15.4 15.5 0.712
## 2454 15.4 15.5 0.697
## 2455 15.4 15.6 0.699
## 2456 15.4 15.6 0.686
## 2467 NA NA 0.430
## 2479 3.5 3.4 0.700
## 2482 3.5 3.4 0.684
## 2484 3.5 3.4 0.672
## 2496 5.8 5.9 0.519
## 2498 6.5 6.7 0.508
## 2500 7.3 7.5 0.495
## 2501 7.7 7.9 0.492
## 2502 8.2 8.4 0.493
## 2506 1.5 1.4 0.909
## 2507 1.5 1.3 0.906
## 2508 1.4 1.3 0.904
## 2509 1.4 1.3 0.903
## 2510 1.4 1.3 0.901
## 2511 1.3 1.3 0.895
## 2512 1.3 1.3 0.898
## 2513 1.3 1.3 0.897
## 2514 1.3 1.3 0.895
## 2515 1.3 1.3 0.892
## 2516 1.3 1.3 0.890
## 2517 1.3 1.3 0.888
## 2518 1.3 1.3 0.882
## 2519 1.3 1.3 0.880
## 2520 1.3 1.3 0.877
## 2521 1.4 1.3 0.873
## 2522 0.4 0.3 0.938
## 2523 0.4 0.3 0.936
## 2524 0.4 0.3 0.934
## 2525 0.5 0.3 0.932
## 2526 0.5 0.3 0.932
## 2527 0.5 0.4 0.920
## 2528 0.5 0.4 0.916
## 2529 0.5 0.4 0.914
## 2530 0.5 0.4 0.911
## 2531 0.6 0.4 0.904
## 2532 0.6 0.4 0.899
## 2533 0.6 0.4 0.895
## 2534 0.6 0.5 0.889
## 2535 0.6 0.5 0.890
## 2536 0.7 0.5 0.888
## 2537 0.7 0.5 0.879
## 2540 6.3 6.1 0.635
## 2541 6.3 6.1 0.645
## 2543 6.4 6.1 0.650
## 2544 6.4 6.2 0.648
## 2545 6.4 6.2 0.651
## 2546 6.4 6.2 0.644
## 2547 6.4 6.3 0.636
## 2548 6.5 6.3 0.624
## 2549 6.5 6.3 0.610
## 2550 6.6 6.4 0.599
## 2551 6.6 6.5 0.596
## 2552 6.7 6.5 0.589
## 2553 6.8 6.6 0.588
## 2570 7.7 7.7 0.738
## 2576 8.3 8.5 0.706
## 2586 2.1 2.1 0.746
## 2587 2.2 2.2 0.743
## 2588 2.2 2.2 0.741
## 2589 2.2 2.2 0.739
## 2590 2.2 2.3 0.735
## 2591 2.3 2.3 0.732
## 2592 2.3 2.4 0.730
## 2593 2.4 2.4 0.714
## 2594 2.4 2.5 0.709
## 2595 2.5 2.5 0.703
## 2596 2.5 2.6 0.000
## 2597 2.6 2.6 0.000
## 2598 2.7 2.7 0.000
## 2599 2.7 2.7 0.000
## 2600 2.8 2.8 0.000
## 2601 2.8 2.8 0.000
## 2612 12.0 11.9 0.492
## 2614 12.1 12.1 0.485
## 2622 7.1 7.0 0.457
## 2634 0.1 0.1 0.718
## 2635 0.1 0.1 0.716
## 2636 0.1 0.1 0.718
## 2637 0.1 0.1 0.717
## 2638 0.1 0.1 0.712
## 2639 0.1 0.1 0.707
## 2640 0.1 0.1 0.703
## 2641 0.1 0.1 0.698
## 2642 0.1 0.1 0.698
## 2643 0.1 0.1 0.695
## 2644 0.1 0.1 0.694
## 2650 5.7 5.9 0.779
## 2661 6.3 6.8 0.736
## 2666 6.5 6.4 0.723
## 2667 6.5 6.4 0.722
## 2668 6.4 6.3 0.720
## 2669 6.4 6.3 0.717
## 2670 6.4 6.3 0.714
## 2671 6.3 6.3 0.710
## 2672 6.3 6.3 0.706
## 2673 6.3 6.3 0.701
## 2674 6.3 6.3 0.695
## 2675 6.3 6.3 0.689
## 2676 6.4 6.3 0.683
## 2677 6.4 6.3 0.673
## 2678 6.4 6.3 0.667
## 2679 6.5 6.4 0.662
## 2680 6.5 6.4 0.654
## 2681 6.6 6.5 0.646
## 2682 4.9 4.8 0.764
## 2683 4.9 4.7 0.759
## 2684 4.9 4.7 0.754
## 2685 4.9 4.7 0.750
## 2686 4.9 4.7 0.737
## 2687 4.9 4.7 0.715
## 2688 4.9 4.8 0.709
## 2689 5.0 4.8 0.705
## 2690 5.0 4.8 0.697
## 2691 5.0 4.8 0.687
## 2692 5.0 4.9 0.681
## 2693 5.1 4.9 0.675
## 2694 5.1 5.0 0.668
## 2695 5.2 5.0 0.658
## 2696 5.2 5.1 0.653
## 2697 5.3 5.2 0.641
## 2701 3.2 3.3 0.672
## 2716 5.7 5.6 0.483
## 2722 6.2 6.2 0.453
## 2723 6.3 6.3 0.442
## 2724 6.4 6.4 0.434
## 2727 6.7 6.7 0.418
## 2732 2.3 2.4 0.746
## 2734 2.4 2.4 0.739
## 2735 2.4 2.5 0.734
## 2747 5.3 5.1 0.836
## 2748 5.2 5.0 0.832
## 2749 5.2 5.0 0.829
## 2750 5.1 5.0 0.826
## 2751 5.1 4.9 0.824
## 2752 5.1 4.9 0.826
## 2753 5.1 4.9 0.831
## 2754 5.1 4.9 0.829
## 2755 5.1 4.9 0.826
## 2756 5.1 4.9 0.823
## 2757 5.1 4.9 0.818
## 2758 5.2 4.9 0.813
## 2759 5.2 5.0 0.808
## 2760 5.3 5.0 0.803
## 2761 5.3 5.1 0.798
## 2762 5.4 5.1 0.791
## 2763 0.8 0.6 NA
## 2764 0.8 0.5 NA
## 2765 0.8 0.5 NA
## 2766 0.8 0.5 NA
## 2767 0.8 0.5 NA
## 2768 0.8 0.5 NA
## 2769 0.8 0.5 NA
## 2770 0.8 0.5 NA
## 2771 0.7 0.5 NA
## 2772 0.7 0.5 NA
## 2773 0.7 0.5 NA
## 2774 0.7 0.5 NA
## 2775 0.7 0.5 NA
## 2776 0.7 0.5 NA
## 2777 0.7 0.5 NA
## 2778 0.7 0.5 NA
## 2780 6.8 6.6 NA
## 2784 7.1 7.1 NA
## 2792 8.0 8.0 NA
## 2793 8.2 8.1 NA
## 2795 0.8 0.6 NA
## 2796 0.8 0.6 NA
## 2797 0.7 0.6 NA
## 2798 0.7 0.6 NA
## 2799 0.7 0.6 NA
## 2800 0.7 0.6 NA
## 2801 0.7 0.6 NA
## 2802 0.7 0.6 NA
## 2803 0.7 0.6 NA
## 2804 0.7 0.6 NA
## 2805 0.7 0.6 NA
## 2806 0.7 0.6 NA
## 2807 0.7 0.6 NA
## 2808 0.8 0.6 NA
## 2809 0.8 0.6 NA
## 2810 0.8 0.7 NA
## 2811 1.5 1.4 0.794
## 2812 1.5 1.4 0.791
## 2813 1.5 1.4 0.788
## 2814 1.5 1.5 0.784
## 2815 1.5 1.5 0.780
## 2816 1.5 1.5 0.777
## 2817 1.5 1.5 0.774
## 2818 1.6 1.5 0.770
## 2819 1.6 1.5 0.760
## 2820 1.6 1.6 0.756
## 2821 1.6 1.6 0.753
## 2822 1.7 1.6 0.750
## 2823 1.7 1.6 0.747
## 2824 1.7 1.7 0.746
## 2825 1.8 1.7 0.742
## 2826 1.8 1.7 0.738
## 2843 1.5 1.4 0.598
## 2844 1.5 1.4 0.596
## 2845 1.5 1.4 0.591
## 2846 1.5 1.4 0.592
## 2847 1.5 1.4 0.591
## 2848 1.5 1.4 0.590
## 2849 1.5 1.5 0.589
## 2858 1.7 1.7 0.000
## 2875 14.2 14.5 0.678
## 2876 14.3 14.7 0.675
## 2877 14.3 14.9 0.668
## 2878 14.4 15.0 0.662
## 2879 14.4 15.2 0.655
## 2880 14.5 15.4 0.647
## 2881 14.6 15.5 0.641
## 2882 14.7 15.7 0.633
## 2883 14.9 15.8 0.625
## 2884 15.1 15.9 0.618
## 2885 15.3 16.0 0.609
## 2886 15.4 16.1 0.601
## 2887 15.6 16.2 0.592
## 2888 15.6 16.3 0.584
## 2889 15.7 16.4 0.576
## 2890 15.8 16.4 0.569
## 2899 13.8 13.8 0.477
## 2904 14.0 14.0 0.450
## 2907 6.3 6.1 0.576
## 2914 6.8 6.7 0.504
## 2919 7.3 7.2 0.443
## 2920 7.4 7.3 0.433
## 2931 8.2 8.2 0.414
## 2932 8.6 8.6 0.408
## 2936 1.2 1.3 0.427
## Schooling
## 14 6.2
## 17 14.2
## 18 14.2
## 19 14.2
## 20 14.2
## 21 13.3
## 22 12.5
## 23 12.2
## 24 12.0
## 25 11.6
## 26 11.4
## 27 10.8
## 28 10.9
## 29 10.7
## 30 10.7
## 31 10.6
## 32 10.7
## 33 14.4
## 34 14.4
## 35 14.4
## 36 14.4
## 37 14.0
## 38 13.6
## 39 13.1
## 40 12.6
## 41 12.3
## 42 12.3
## 43 12.0
## 44 11.7
## 45 11.5
## 46 11.1
## 47 10.9
## 48 10.7
## 63 5.1
## 64 4.6
## 65 13.9
## 66 13.9
## 67 13.9
## 68 13.8
## 69 14.1
## 70 14.1
## 71 14.2
## 72 14.4
## 73 14.5
## 74 14.7
## 75 0.0
## 76 0.0
## 81 17.3
## 82 17.3
## 83 17.3
## 84 17.2
## 85 17.1
## 86 16.8
## 87 16.5
## 88 16.3
## 89 16.3
## 90 16.1
## 91 16.3
## 92 16.3
## 93 16.4
## 94 16.3
## 95 15.6
## 96 15.0
## 97 12.7
## 98 12.7
## 99 12.7
## 100 12.7
## 101 12.7
## 102 12.3
## 103 11.9
## 104 12.3
## 105 11.7
## 106 11.2
## 107 10.9
## 108 10.9
## 109 10.8
## 110 10.8
## 111 11.1
## 112 11.2
## 113 20.4
## 114 20.4
## 115 20.3
## 116 20.1
## 117 19.8
## 118 19.5
## 119 19.1
## 120 19.1
## 121 19.0
## 122 20.3
## 123 20.3
## 124 20.7
## 125 20.6
## 126 20.1
## 127 20.5
## 128 20.4
## 129 15.9
## 130 15.9
## 131 15.7
## 132 15.7
## 133 15.7
## 134 15.4
## 135 15.3
## 136 15.1
## 137 15.2
## 138 15.0
## 139 14.9
## 140 14.7
## 141 14.7
## 142 16.1
## 143 15.5
## 144 15.4
## 145 12.7
## 146 12.2
## 147 11.9
## 148 11.8
## 149 11.7
## 150 11.7
## 151 11.6
## 152 11.6
## 153 11.6
## 158 10.6
## 160 10.1
## 161 12.6
## 162 12.6
## 174 12.1
## 177 14.5
## 178 14.5
## 179 14.5
## 180 14.5
## 181 14.4
## 182 14.4
## 183 14.4
## 184 14.4
## 185 14.4
## 186 14.2
## 187 14.0
## 188 13.9
## 189 13.7
## 190 13.5
## 191 13.3
## 192 13.2
## 193 10.2
## 194 10.0
## 195 10.0
## 196 9.9
## 197 9.4
## 198 8.9
## 199 8.4
## 200 8.6
## 209 15.3
## 210 15.3
## 211 15.3
## 212 15.3
## 213 15.5
## 214 15.8
## 215 15.5
## 216 15.3
## 217 15.0
## 218 14.8
## 219 14.6
## 220 14.4
## 221 14.2
## 222 14.0
## 223 14.0
## 224 14.0
## 227 15.7
## 241 16.6
## 242 16.3
## 243 16.3
## 244 16.2
## 245 16.1
## 246 15.9
## 247 15.8
## 248 15.8
## 249 15.8
## 250 15.7
## 251 15.7
## 252 18.8
## 253 18.6
## 254 18.8
## 255 18.2
## 256 18.0
## 259 12.9
## 269 12.2
## 271 11.8
## 303 7.6
## 310 13.8
## 311 13.8
## 317 14.4
## 321 14.2
## 322 14.2
## 323 14.2
## 324 13.9
## 325 13.4
## 326 13.3
## 327 13.3
## 328 13.1
## 329 12.9
## 330 12.7
## 331 12.5
## 332 12.3
## 333 12.1
## 334 11.9
## 335 11.6
## 336 0.0
## 340 12.5
## 353 15.2
## 354 15.2
## 355 14.2
## 356 14.2
## 364 14.0
## 369 14.9
## 370 15.0
## 371 14.9
## 372 14.4
## 373 14.1
## 374 14.2
## 375 14.1
## 376 14.2
## 377 14.3
## 378 14.3
## 379 14.1
## 380 13.7
## 381 13.4
## 382 13.3
## 383 13.4
## 384 13.4
## 385 15.0
## 386 14.8
## 387 14.4
## 388 14.3
## 389 14.2
## 390 13.9
## 395 13.5
## 399 12.9
## 401 7.7
## 403 7.5
## 410 4.7
## 419 10.5
## 422 9.3
## 424 7.9
## 434 NA
## 449 13.5
## 450 13.5
## 451 13.6
## 452 13.2
## 453 13.1
## 454 12.7
## 455 12.4
## 456 12.2
## 457 11.9
## 458 11.9
## 459 11.2
## 460 11.1
## 461 11.3
## 462 11.3
## 469 10.7
## 473 10.3
## 486 9.7
## 491 8.3
## 494 8.4
## 495 7.1
## 497 16.3
## 498 15.9
## 499 15.9
## 500 15.9
## 501 15.9
## 502 15.9
## 503 15.9
## 504 15.8
## 505 15.8
## 506 15.8
## 507 15.8
## 508 15.8
## 509 15.8
## 510 15.8
## 511 15.8
## 512 15.9
## 522 6.0
## 525 5.6
## 526 5.4
## 527 5.3
## 528 5.2
## 535 6.3
## 539 5.6
## 540 5.6
## 541 5.4
## 542 5.1
## 543 4.9
## 544 4.7
## 545 16.3
## 546 16.2
## 547 15.6
## 548 15.5
## 549 15.4
## 550 15.2
## 551 15.3
## 552 15.2
## 553 14.8
## 554 14.9
## 555 14.6
## 556 14.3
## 557 14.0
## 558 13.9
## 559 13.7
## 560 13.5
## 561 13.5
## 562 13.1
## 563 12.7
## 564 12.4
## 565 12.8
## 566 12.5
## 567 12.2
## 568 11.9
## 569 11.4
## 570 11.0
## 571 10.6
## 572 10.2
## 573 9.9
## 574 9.7
## 575 9.6
## 576 9.5
## 577 13.6
## 578 13.6
## 579 13.3
## 580 13.2
## 581 13.0
## 582 12.8
## 583 12.4
## 584 12.2
## 585 11.9
## 586 11.5
## 587 11.1
## 588 11.3
## 589 11.6
## 594 11.1
## 620 9.2
## 626 14.2
## 627 13.9
## 628 13.7
## 629 13.6
## 630 13.4
## 631 13.3
## 632 13.1
## 633 12.9
## 634 12.8
## 635 12.6
## 636 12.4
## 637 12.2
## 638 12.1
## 639 11.9
## 640 11.7
## 641 11.6
## 642 15.3
## 643 15.1
## 644 14.9
## 645 14.6
## 646 14.5
## 647 14.2
## 648 14.2
## 649 14.3
## 650 14.3
## 651 13.9
## 652 13.6
## 653 13.3
## 654 12.9
## 655 12.6
## 656 12.3
## 657 12.2
## 658 13.9
## 659 14.0
## 660 14.7
## 661 15.7
## 662 16.5
## 663 17.6
## 664 17.7
## 665 17.1
## 666 16.0
## 667 14.7
## 668 14.2
## 669 13.2
## 670 12.9
## 671 12.5
## 672 12.3
## 673 12.1
## 674 14.3
## 675 14.0
## 676 13.8
## 677 13.8
## 678 13.8
## 679 14.6
## 680 14.1
## 681 13.7
## 682 13.5
## 683 13.4
## 684 13.5
## 685 13.4
## 686 13.0
## 687 12.5
## 688 12.4
## 689 12.5
## 690 NA
## 691 NA
## 692 NA
## 693 NA
## 694 NA
## 695 NA
## 696 NA
## 697 NA
## 698 NA
## 699 NA
## 700 NA
## 701 NA
## 702 NA
## 703 NA
## 704 NA
## 705 NA
## 706 NA
## 707 NA
## 708 NA
## 709 NA
## 731 NA
## 736 NA
## 738 19.2
## 739 19.2
## 740 18.7
## 741 18.4
## 742 16.9
## 743 16.8
## 744 16.8
## 745 16.8
## 746 16.7
## 747 16.9
## 748 16.6
## 749 16.5
## 750 16.3
## 751 16.6
## 752 16.2
## 753 16.5
## 763 4.3
## 775 13.0
## 781 12.6
## 783 12.4
## 787 14.0
## 788 14.0
## 789 13.4
## 790 13.3
## 791 13.2
## 792 13.1
## 793 13.1
## 794 13.0
## 795 12.9
## 796 12.8
## 798 12.7
## 825 12.8
## 827 12.9
## 831 12.0
## 832 11.8
## 835 9.2
## 836 9.2
## 841 9.1
## 861 5.4
## 867 16.5
## 868 16.5
## 869 16.5
## 870 16.5
## 871 16.4
## 872 16.2
## 891 7.1
## 900 15.2
## 904 14.6
## 905 14.5
## 906 14.3
## 907 14.2
## 911 13.3
## 912 13.3
## 915 17.0
## 916 17.0
## 917 17.0
## 918 17.0
## 919 16.9
## 920 16.8
## 921 17.0
## 922 17.1
## 923 17.2
## 924 17.2
## 925 17.1
## 926 18.3
## 927 18.1
## 928 18.0
## 929 17.7
## 930 17.3
## 931 16.3
## 932 16.2
## 933 16.2
## 934 16.1
## 935 16.1
## 936 16.0
## 937 16.0
## 938 16.1
## 939 16.1
## 940 16.1
## 941 15.5
## 942 15.5
## 943 15.4
## 944 15.5
## 945 15.6
## 946 15.7
## 953 12.4
## 957 12.4
## 959 12.3
## 961 12.3
## 977 6.8
## 978 6.5
## 979 13.9
## 980 13.5
## 981 13.5
## 982 13.4
## 983 13.3
## 984 13.3
## 985 12.8
## 986 13.1
## 987 12.5
## 988 12.6
## 989 12.2
## 990 12.0
## 991 11.8
## 992 11.8
## 993 11.7
## 994 11.4
## 995 17.1
## 996 17.0
## 997 16.9
## 998 16.9
## 999 16.8
## 1000 16.7
## 1001 16.7
## 1002 16.6
## 1003 16.6
## 1004 16.5
## 1005 16.4
## 1006 16.4
## 1007 16.3
## 1008 16.3
## 1009 16.2
## 1010 16.2
## 1019 9.1
## 1022 7.7
## 1023 7.9
## 1024 7.6
## 1025 8.0
## 1026 7.7
## 1027 17.2
## 1028 17.2
## 1029 17.1
## 1030 16.8
## 1031 16.7
## 1032 16.4
## 1033 16.2
## 1034 15.9
## 1035 16.4
## 1036 16.3
## 1037 15.6
## 1038 15.3
## 1039 15.2
## 1040 14.6
## 1041 14.2
## 1042 13.9
## 1043 15.8
## 1044 15.8
## 1045 15.8
## 1046 15.8
## 1047 15.8
## 1066 10.4
## 1068 9.8
## 1069 9.6
## 1070 9.3
## 1071 9.0
## 1072 8.8
## 1079 8.4
## 1082 7.9
## 1083 7.6
## 1099 8.8
## 1100 8.3
## 1101 8.0
## 1102 7.7
## 1103 7.4
## 1104 7.1
## 1105 6.7
## 1106 6.4
## 1110 10.6
## 1116 11.7
## 1123 9.1
## 1132 8.3
## 1133 8.2
## 1134 8.1
## 1135 8.1
## 1136 8.0
## 1137 7.9
## 1138 7.8
## 1139 11.2
## 1140 11.4
## 1141 11.6
## 1147 10.9
## 1155 15.6
## 1156 15.8
## 1157 15.4
## 1158 15.4
## 1159 15.4
## 1166 15.3
## 1171 19.0
## 1172 19.0
## 1173 19.0
## 1174 18.7
## 1175 18.6
## 1176 18.4
## 1177 18.4
## 1178 18.2
## 1179 18.2
## 1180 18.1
## 1181 17.9
## 1182 18.3
## 1183 17.6
## 1184 17.2
## 1185 17.1
## 1186 16.8
## 1190 11.3
## 1193 10.5
## 1194 10.2
## 1195 9.9
## 1196 9.7
## 1211 11.0
## 1213 11.1
## 1219 14.8
## 1220 14.9
## 1221 15.0
## 1222 13.6
## 1223 13.1
## 1224 12.9
## 1225 12.8
## 1226 12.1
## 1227 11.8
## 1228 11.4
## 1229 11.4
## 1230 11.8
## 1232 11.9
## 1233 11.6
## 1234 11.6
## 1237 10.3
## 1238 10.5
## 1239 10.4
## 1240 10.4
## 1241 10.3
## 1245 10.1
## 1246 9.8
## 1248 9.1
## 1249 8.7
## 1250 8.6
## 1251 18.6
## 1252 18.6
## 1253 18.6
## 1254 18.5
## 1255 18.5
## 1256 18.2
## 1257 17.9
## 1258 17.9
## 1259 17.6
## 1260 17.6
## 1261 17.5
## 1262 17.1
## 1263 16.8
## 1264 16.5
## 1265 16.4
## 1266 16.2
## 1267 16.0
## 1268 16.0
## 1269 15.9
## 1270 15.9
## 1271 15.8
## 1272 15.7
## 1273 15.6
## 1274 15.8
## 1275 15.7
## 1276 15.7
## 1277 15.8
## 1278 15.9
## 1279 16.0
## 1280 15.3
## 1281 15.1
## 1282 15.2
## 1283 16.3
## 1284 16.3
## 1285 16.5
## 1286 16.6
## 1287 16.4
## 1288 16.4
## 1289 16.3
## 1290 16.3
## 1291 16.1
## 1292 16.0
## 1293 15.8
## 1294 15.6
## 1295 15.4
## 1296 15.2
## 1297 14.9
## 1298 14.8
## 1299 12.8
## 1300 12.8
## 1301 12.8
## 1302 12.8
## 1303 12.8
## 1304 12.7
## 1305 12.7
## 1306 12.6
## 1307 12.5
## 1308 12.5
## 1315 15.3
## 1316 15.3
## 1317 15.3
## 1318 15.3
## 1319 15.1
## 1320 15.1
## 1321 15.0
## 1322 15.0
## 1323 15.0
## 1324 14.9
## 1325 14.9
## 1326 14.8
## 1327 14.8
## 1328 14.7
## 1329 14.6
## 1330 14.5
## 1331 13.1
## 1332 13.1
## 1333 13.1
## 1334 12.9
## 1335 13.1
## 1336 13.2
## 1337 13.6
## 1338 13.6
## 1339 13.6
## 1340 13.7
## 1341 13.8
## 1342 13.5
## 1343 13.2
## 1344 13.0
## 1345 12.7
## 1346 12.6
## 1348 15.0
## 1349 15.0
## 1380 11.9
## 1381 11.9
## 1382 11.9
## 1383 11.9
## 1384 11.9
## 1385 11.9
## 1386 11.6
## 1395 13.3
## 1396 13.0
## 1397 13.1
## 1398 13.2
## 1399 13.4
## 1400 13.5
## 1401 13.6
## 1402 13.8
## 1403 13.9
## 1404 14.1
## 1405 14.2
## 1406 14.4
## 1407 14.1
## 1408 13.9
## 1409 14.0
## 1410 14.1
## 1412 12.8
## 1414 12.3
## 1417 12.4
## 1429 10.4
## 1430 10.2
## 1436 9.0
## 1448 16.0
## 1454 15.5
## 1455 15.2
## 1459 13.3
## 1460 13.3
## 1461 13.3
## 1462 13.3
## 1463 13.2
## 1464 13.3
## 1465 13.2
## 1466 13.1
## 1467 12.9
## 1468 13.2
## 1469 13.7
## 1470 14.2
## 1471 14.8
## 1472 15.2
## 1473 15.0
## 1474 14.9
## 1479 11.0
## 1500 10.0
## 1503 10.3
## 1506 8.7
## 1507 13.4
## 1508 13.4
## 1509 13.4
## 1510 13.7
## 1512 14.3
## 1513 14.6
## 1514 14.8
## 1515 15.1
## 1516 15.4
## 1517 15.7
## 1518 15.9
## 1519 16.0
## 1520 15.8
## 1521 15.7
## 1522 15.5
## 1527 16.7
## 1531 16.4
## 1534 16.3
## 1535 15.8
## 1536 15.3
## 1537 14.7
## 1538 14.0
## 1539 13.9
## 1540 13.9
## 1541 13.9
## 1542 13.9
## 1543 13.9
## 1544 13.7
## 1545 13.5
## 1546 13.5
## 1547 13.5
## 1548 13.5
## 1549 13.5
## 1550 13.5
## 1551 13.6
## 1552 13.5
## 1553 13.4
## 1554 13.5
## 1555 10.3
## 1557 10.3
## 1574 10.7
## 1581 9.7
## 1584 10.4
## 1587 13.1
## 1588 13.0
## 1589 12.9
## 1590 12.9
## 1591 13.0
## 1592 12.8
## 1593 12.6
## 1594 12.5
## 1595 12.3
## 1596 12.7
## 1597 12.9
## 1598 12.7
## 1599 12.1
## 1600 12.0
## 1601 11.9
## 1602 11.6
## 1603 12.7
## 1604 12.7
## 1605 12.4
## 1606 12.1
## 1607 11.8
## 1608 11.6
## 1609 11.8
## 1610 11.8
## 1611 11.9
## 1612 12.0
## 1613 12.1
## 1614 12.2
## 1615 11.8
## 1616 12.0
## 1617 11.8
## 1618 11.3
## 1622 7.7
## 1629 5.8
## 1632 4.9
## 1633 4.6
## 1634 4.4
## 1635 14.6
## 1636 14.3
## 1637 14.2
## 1638 14.1
## 1639 14.8
## 1640 14.6
## 1641 14.4
## 1642 14.6
## 1643 14.4
## 1644 14.8
## 1645 14.8
## 1646 14.2
## 1647 13.8
## 1648 13.8
## 1649 13.7
## 1650 13.8
## 1652 8.5
## 1653 8.5
## 1654 8.2
## 1655 7.8
## 1667 6.4
## 1668 15.2
## 1669 14.7
## 1670 14.7
## 1684 13.3
## 1685 13.1
## 1686 12.9
## 1687 12.7
## 1688 12.6
## 1689 12.5
## 1690 12.5
## 1691 12.3
## 1692 12.3
## 1693 12.2
## 1694 12.2
## 1695 12.1
## 1696 11.9
## 1697 11.6
## 1698 11.6
## 1699 11.4
## 1712 10.4
## 1713 10.2
## 1722 14.3
## 1725 13.0
## 1733 15.1
## 1734 15.1
## 1735 15.1
## 1736 15.1
## 1737 15.1
## 1738 15.0
## 1739 14.6
## 1740 14.2
## 1741 13.6
## 1742 13.2
## 1743 12.8
## 1744 12.6
## 1745 0.0
## 1746 0.0
## 1747 0.0
## 1748 0.0
## 1749 12.1
## 1750 12.1
## 1751 12.1
## 1752 11.6
## 1753 11.2
## 1754 10.7
## 1755 10.5
## 1756 10.3
## 1757 10.0
## 1758 10.0
## 1759 9.8
## 1760 9.6
## 1761 9.3
## 1762 8.8
## 1764 8.0
## 1767 9.1
## 1768 9.2
## 1769 9.5
## 1770 9.3
## 1771 9.2
## 1772 8.8
## 1779 5.8
## 1780 5.4
## 1782 9.1
## 1783 9.1
## 1784 9.1
## 1785 9.1
## 1786 8.8
## 1790 8.0
## 1803 11.4
## 1812 11.5
## 1823 9.6
## 1824 9.4
## 1826 9.2
## 1828 9.0
## 1830 18.1
## 1831 18.1
## 1832 18.1
## 1833 18.1
## 1834 17.2
## 1835 17.0
## 1836 16.9
## 1837 16.8
## 1838 16.6
## 1839 16.5
## 1840 16.4
## 1841 16.5
## 1842 16.5
## 1843 16.9
## 1844 16.7
## 1845 16.5
## 1846 19.2
## 1847 19.2
## 1848 19.3
## 1849 19.5
## 1850 19.7
## 1851 20.3
## 1852 19.3
## 1853 19.5
## 1854 19.2
## 1855 19.1
## 1856 18.9
## 1857 18.4
## 1858 18.2
## 1859 17.5
## 1860 17.4
## 1861 17.2
## 1862 11.7
## 1863 11.6
## 1866 11.5
## 1871 11.0
## 1878 5.4
## 1890 3.0
## 1904 8.9
## 1905 8.5
## 1906 8.1
## 1907 7.7
## 1908 8.0
## 1909 7.6
## 1911 17.7
## 1912 17.7
## 1913 17.5
## 1914 17.6
## 1915 17.6
## 1916 17.4
## 1917 17.4
## 1918 17.6
## 1919 17.6
## 1920 17.5
## 1921 17.6
## 1922 17.5
## 1923 17.1
## 1924 17.1
## 1925 17.5
## 1926 17.1
## 1927 13.7
## 1928 13.7
## 1929 13.7
## 1930 13.7
## 1931 13.6
## 1932 13.5
## 1933 12.4
## 1934 11.9
## 1935 11.5
## 1936 11.6
## 1937 11.5
## 1938 11.5
## 1939 11.2
## 1940 11.0
## 1941 10.7
## 1942 10.4
## 1953 6.1
## 1958 5.3
## 1960 13.0
## 1961 13.0
## 1962 12.9
## 1963 12.8
## 1964 12.9
## 1965 12.8
## 1966 12.8
## 1967 12.8
## 1968 12.9
## 1969 12.9
## 1970 12.9
## 1971 12.8
## 1972 12.8
## 1973 12.6
## 1974 12.4
## 1975 12.1
## 1983 8.9
## 1986 7.9
## 1992 12.3
## 1993 12.3
## 1994 12.3
## 1995 12.3
## 1996 12.3
## 2006 11.8
## 2008 13.4
## 2009 13.4
## 2010 13.4
## 2011 13.4
## 2012 13.4
## 2013 13.3
## 2014 13.3
## 2015 13.2
## 2016 13.2
## 2017 13.0
## 2018 13.0
## 2021 13.9
## 2022 13.4
## 2040 16.4
## 2041 16.4
## 2042 15.4
## 2043 15.3
## 2044 15.4
## 2045 15.1
## 2046 15.1
## 2047 15.0
## 2048 15.0
## 2049 15.0
## 2050 14.8
## 2051 15.5
## 2052 15.3
## 2053 15.0
## 2054 14.7
## 2056 16.6
## 2057 16.8
## 2058 16.3
## 2059 16.3
## 2060 16.2
## 2061 16.0
## 2062 16.0
## 2063 15.8
## 2064 15.4
## 2065 15.4
## 2066 15.4
## 2067 15.9
## 2068 15.8
## 2069 15.9
## 2070 15.7
## 2071 15.5
## 2072 13.4
## 2073 13.4
## 2074 13.4
## 2075 13.4
## 2076 12.4
## 2077 12.0
## 2078 11.8
## 2079 11.7
## 2080 12.6
## 2081 13.7
## 2082 13.7
## 2083 13.5
## 2084 12.8
## 2085 12.2
## 2086 12.6
## 2087 13.0
## 2088 NA
## 2089 NA
## 2090 NA
## 2091 NA
## 2092 NA
## 2093 NA
## 2094 NA
## 2095 NA
## 2096 NA
## 2097 NA
## 2098 NA
## 2099 NA
## 2100 NA
## 2101 NA
## 2102 NA
## 2103 NA
## 2120 14.7
## 2121 14.7
## 2122 14.7
## 2123 15.3
## 2124 15.7
## 2145 13.8
## 2150 12.5
## 2151 12.1
## 2153 10.8
## 2157 10.0
## 2162 8.8
## 2164 7.6
## 2169 13.1
## 2170 13.1
## 2171 13.1
## 2172 13.0
## 2173 12.9
## 2174 12.8
## 2175 12.7
## 2176 12.6
## 2179 12.2
## 2189 13.3
## 2193 13.3
## 2201 12.9
## 2202 12.9
## 2203 12.9
## 2204 12.9
## 2205 12.9
## 2206 12.9
## 2208 12.9
## 2209 12.9
## 2211 12.6
## 2216 12.1
## 2218 11.2
## 2223 10.6
## 2224 10.1
## 2227 10.2
## 2234 16.1
## 2235 15.8
## 2236 15.2
## 2237 14.5
## 2238 13.9
## 2239 13.3
## 2240 13.0
## 2241 12.8
## 2242 12.7
## 2243 12.5
## 2244 12.4
## 2245 12.3
## 2246 12.2
## 2247 12.1
## 2248 12.0
## 2249 11.8
## 2253 8.3
## 2254 7.9
## 2258 6.8
## 2265 5.2
## 2266 14.4
## 2267 14.3
## 2268 14.1
## 2269 14.0
## 2270 13.5
## 2271 13.6
## 2272 13.6
## 2273 13.5
## 2274 13.5
## 2275 13.4
## 2276 13.2
## 2277 13.1
## 2278 13.0
## 2279 13.2
## 2280 13.1
## 2281 13.0
## 2283 13.2
## 2287 13.2
## 2300 9.3
## 2306 8.2
## 2308 7.8
## 2310 7.4
## 2314 15.4
## 2315 15.4
## 2316 15.4
## 2317 15.4
## 2318 15.2
## 2319 14.5
## 2320 14.4
## 2321 14.2
## 2322 14.1
## 2323 13.9
## 2324 12.6
## 2325 12.7
## 2326 12.7
## 2327 12.6
## 2328 12.7
## 2329 12.5
## 2330 15.0
## 2331 15.1
## 2332 15.0
## 2333 15.0
## 2334 15.0
## 2335 15.0
## 2336 14.9
## 2337 14.8
## 2338 14.5
## 2339 14.3
## 2340 14.0
## 2341 13.8
## 2342 13.6
## 2343 13.3
## 2344 13.3
## 2345 13.0
## 2346 17.3
## 2347 17.6
## 2348 16.8
## 2349 16.8
## 2350 17.0
## 2351 16.9
## 2352 16.9
## 2353 16.9
## 2354 16.8
## 2355 16.7
## 2356 16.3
## 2357 16.6
## 2358 16.1
## 2359 15.6
## 2360 14.7
## 2361 14.6
## 2370 9.0
## 2371 8.4
## 2372 8.3
## 2373 8.1
## 2375 7.3
## 2386 NA
## 2397 12.8
## 2425 0.0
## 2426 17.7
## 2427 17.6
## 2428 17.5
## 2429 17.2
## 2430 16.9
## 2431 16.4
## 2432 16.3
## 2433 16.1
## 2434 16.0
## 2435 15.9
## 2436 15.8
## 2437 15.6
## 2438 15.6
## 2439 15.7
## 2440 15.7
## 2441 15.7
## 2442 14.0
## 2443 14.0
## 2444 13.8
## 2445 13.7
## 2446 13.6
## 2447 13.5
## 2450 13.2
## 2451 13.1
## 2452 12.9
## 2454 12.7
## 2455 12.6
## 2456 12.5
## 2467 6.2
## 2479 12.3
## 2482 11.7
## 2484 11.3
## 2496 10.8
## 2498 10.5
## 2500 9.7
## 2501 9.4
## 2502 9.1
## 2506 15.9
## 2507 15.8
## 2508 15.8
## 2509 15.8
## 2510 16.0
## 2511 15.8
## 2512 15.8
## 2513 15.7
## 2514 15.8
## 2515 15.9
## 2516 16.0
## 2517 16.0
## 2518 15.9
## 2519 15.9
## 2520 15.9
## 2521 15.9
## 2522 16.0
## 2523 15.9
## 2524 15.8
## 2525 15.7
## 2526 15.6
## 2527 15.4
## 2528 15.3
## 2529 15.3
## 2530 15.3
## 2531 15.2
## 2532 15.2
## 2533 15.1
## 2534 15.0
## 2535 15.2
## 2536 15.2
## 2537 15.1
## 2540 13.0
## 2541 12.5
## 2543 11.7
## 2544 11.8
## 2545 11.6
## 2546 11.5
## 2547 11.4
## 2548 11.0
## 2549 10.6
## 2550 10.3
## 2551 10.2
## 2552 10.1
## 2553 10.0
## 2570 13.6
## 2576 13.0
## 2586 12.9
## 2587 12.9
## 2588 12.9
## 2589 12.9
## 2590 12.9
## 2591 13.0
## 2592 13.0
## 2593 12.2
## 2594 12.2
## 2595 12.1
## 2596 11.9
## 2597 11.9
## 2598 11.9
## 2599 11.9
## 2600 11.8
## 2601 11.7
## 2612 10.6
## 2614 9.8
## 2622 11.5
## 2634 14.3
## 2635 14.3
## 2636 14.3
## 2637 14.4
## 2638 14.4
## 2639 14.4
## 2640 14.5
## 2641 14.5
## 2642 14.5
## 2643 14.6
## 2644 14.6
## 2650 12.7
## 2661 12.2
## 2666 14.6
## 2667 14.7
## 2668 14.7
## 2669 14.6
## 2670 14.5
## 2671 14.4
## 2672 14.4
## 2673 14.3
## 2674 14.3
## 2675 14.2
## 2676 13.9
## 2677 13.6
## 2678 13.5
## 2679 13.3
## 2680 13.1
## 2681 12.8
## 2682 14.5
## 2683 14.5
## 2684 14.4
## 2685 14.3
## 2686 13.8
## 2687 13.0
## 2688 12.5
## 2689 12.5
## 2690 12.3
## 2691 11.9
## 2692 11.9
## 2693 12.0
## 2694 11.9
## 2695 11.5
## 2696 11.1
## 2697 10.7
## 2701 10.7
## 2716 10.0
## 2722 10.6
## 2723 10.3
## 2724 10.6
## 2727 11.5
## 2732 15.2
## 2734 15.1
## 2735 14.9
## 2747 13.3
## 2748 13.3
## 2749 13.3
## 2750 13.3
## 2751 13.3
## 2752 13.3
## 2753 13.2
## 2754 13.1
## 2755 12.9
## 2756 12.8
## 2757 12.6
## 2758 12.4
## 2759 12.3
## 2760 12.1
## 2761 12.0
## 2762 11.8
## 2763 NA
## 2764 NA
## 2765 NA
## 2766 NA
## 2767 NA
## 2768 NA
## 2769 NA
## 2770 NA
## 2771 NA
## 2772 NA
## 2773 NA
## 2774 NA
## 2775 NA
## 2776 NA
## 2777 NA
## 2778 NA
## 2780 NA
## 2784 NA
## 2792 NA
## 2793 NA
## 2795 NA
## 2796 NA
## 2797 NA
## 2798 NA
## 2799 NA
## 2800 NA
## 2801 NA
## 2802 NA
## 2803 NA
## 2804 NA
## 2805 NA
## 2806 NA
## 2807 NA
## 2808 NA
## 2809 NA
## 2810 NA
## 2811 15.5
## 2812 15.5
## 2813 15.5
## 2814 15.5
## 2815 15.5
## 2816 15.6
## 2817 15.5
## 2818 15.7
## 2819 15.3
## 2820 15.2
## 2821 15.5
## 2822 15.5
## 2823 15.0
## 2824 14.7
## 2825 14.2
## 2826 14.0
## 2843 10.8
## 2844 10.8
## 2845 10.8
## 2846 10.8
## 2847 10.8
## 2848 10.8
## 2849 10.7
## 2858 9.6
## 2875 12.6
## 2876 12.5
## 2877 12.3
## 2878 12.2
## 2879 12.0
## 2880 11.9
## 2881 11.7
## 2882 11.6
## 2883 11.4
## 2884 11.3
## 2885 11.1
## 2886 11.0
## 2887 10.9
## 2888 10.7
## 2889 10.6
## 2890 10.4
## 2899 8.6
## 2904 8.0
## 2907 12.5
## 2914 11.4
## 2919 10.2
## 2920 10.0
## 2931 9.6
## 2932 9.5
## 2936 10.0# Economical Group vs. Life Expectancy
# Economical: %expenditure, total expenditure, GDP, income composition
plot(Life.expectancy~percentage.expenditure,data=data, main = "Percentage Expenditure vs. Life Expectancy")
plot(Life.expectancy~percentage.expenditure,data=data, main = "Percentage Expenditure vs. Life Expectancy (subset)", xlim = c(0,1000))
# need to find the # of countries that spend 0% of expenditure on health
# relatively linear
# need to find how they define % expenditure (bc values greater than 100)
plot(Life.expectancy~Total.expenditure,data=data, main = "Total Expenditure vs. Life Expectancy")
# very scattered
plot(Life.expectancy~GDP,data=data, main = "GDP vs. Life Expectancy")
plot(Life.expectancy~GDP,data=data, main = "GDP vs. Life Expectancy (subset)", xlim = c(0,20000))
# relatively upward sloping
# Assuming 'data' is your data frame and 'Status' is the categorical variable for coloring
plot(Life.expectancy~Income.composition.of.resources,data=data, main = "Income Composition of Resources vs. Life Expectancy")
plot(Life.expectancy ~ Income.composition.of.resources, data = data,
pch = ifelse(data$Status == "Developed", 16, 17),
main = "Income Composition of Resources vs. Life Expectancy",
xlab = "Income Composition of Resources",
ylab = "Life Expectancy",
col = ifelse(data$Status == "Developed", "blue", "red"))
# higher = better (more diverse in income, more economic stability)
# remove total expenditure??# countries where income composition = 0
# If the income composition of resources component of the HDI is reported as 0 for a country, it suggests that the country's income is not derived from the specific factors or resources considered in that component of the HDI
countries_with_zero_income <- subset(data, Income.composition.of.resources == 0)
countries_with_zero_income## Country Year Status Life.expectancy
## 75 Antigua and Barbuda 2005 Developing 74.6
## 76 Antigua and Barbuda 2004 Developing 74.4
## 77 Antigua and Barbuda 2003 Developing 74.2
## 78 Antigua and Barbuda 2002 Developing 74.0
## 79 Antigua and Barbuda 2001 Developing 73.8
## 80 Antigua and Barbuda 2000 Developing 73.6
## 176 Bahamas 2000 Developing 72.6
## 294 Bhutan 2010 Developing 67.9
## 295 Bhutan 2009 Developing 67.4
## 296 Bhutan 2008 Developing 67.0
## 297 Bhutan 2007 Developing 66.5
## 298 Bhutan 2006 Developing 65.8
## 299 Bhutan 2005 Developing 65.0
## 300 Bhutan 2004 Developing 64.2
## 301 Bhutan 2003 Developing 63.3
## 302 Bhutan 2002 Developing 62.5
## 303 Bhutan 2001 Developing 61.7
## 304 Bhutan 2000 Developing 62.0
## 331 Bosnia and Herzegovina 2005 Developing 75.0
## 332 Bosnia and Herzegovina 2004 Developing 75.5
## 333 Bosnia and Herzegovina 2003 Developing 75.2
## 334 Bosnia and Herzegovina 2002 Developing 75.4
## 335 Bosnia and Herzegovina 2001 Developing 74.9
## 336 Bosnia and Herzegovina 2000 Developing 74.6
## 411 Burkina Faso 2005 Developing 53.3
## 412 Burkina Faso 2004 Developing 52.4
## 413 Burkina Faso 2003 Developing 51.6
## 414 Burkina Faso 2002 Developing 51.0
## 415 Burkina Faso 2001 Developing 56.0
## 416 Burkina Faso 2000 Developing 51.0
## 464 Cabo Verde 2000 Developing 69.9
## 544 Chad 2000 Developing 47.6
## 604 Comoros 2004 Developing 59.8
## 605 Comoros 2003 Developing 59.6
## 606 Comoros 2002 Developing 59.5
## 607 Comoros 2001 Developing 59.5
## 608 Comoros 2000 Developing 59.5
## 850 Equatorial Guinea 2000 Developing 52.7
## 861 Eritrea 2005 Developing 59.4
## 862 Eritrea 2004 Developing 59.1
## 863 Eritrea 2003 Developing 58.8
## 864 Eritrea 2002 Developing 58.5
## 865 Eritrea 2001 Developing 58.1
## 866 Eritrea 2000 Developing 45.3
## 898 Ethiopia 2000 Developing 51.2
## 994 Georgia 2000 Developing 71.8
## 1048 Grenada 2010 Developing 72.6
## 1049 Grenada 2009 Developing 72.4
## 1050 Grenada 2008 Developing 72.1
## 1051 Grenada 2007 Developing 71.9
## 1052 Grenada 2006 Developing 71.7
## 1053 Grenada 2005 Developing 71.5
## 1054 Grenada 2004 Developing 73.0
## 1055 Grenada 2003 Developing 71.1
## 1056 Grenada 2002 Developing 79.0
## 1057 Grenada 2001 Developing 77.0
## 1058 Grenada 2000 Developing 74.0
## 1101 Guinea-Bissau 2005 Developing 53.9
## 1102 Guinea-Bissau 2004 Developing 53.5
## 1103 Guinea-Bissau 2003 Developing 53.0
## 1104 Guinea-Bissau 2002 Developing 52.8
## 1105 Guinea-Bissau 2001 Developing 52.5
## 1106 Guinea-Bissau 2000 Developing 52.1
## 1389 Kiribati 2005 Developing 64.9
## 1390 Kiribati 2004 Developing 64.8
## 1391 Kiribati 2003 Developing 64.7
## 1392 Kiribati 2002 Developing 64.6
## 1393 Kiribati 2001 Developing 64.3
## 1394 Kiribati 2000 Developing 64.1
## 1469 Lebanon 2005 Developing 73.9
## 1470 Lebanon 2004 Developing 73.7
## 1471 Lebanon 2003 Developing 73.5
## 1472 Lebanon 2002 Developing 73.2
## 1473 Lebanon 2001 Developing 73.0
## 1474 Lebanon 2000 Developing 72.7
## 1570 Madagascar 2000 Developing 57.9
## 1715 Micronesia (Federated States of) 2000 Developing 67.0
## 1745 Montenegro 2003 Developing 73.5
## 1746 Montenegro 2002 Developing 73.4
## 1747 Montenegro 2001 Developing 73.3
## 1748 Montenegro 2000 Developing 73.0
## 1906 Nigeria 2003 Developing 48.1
## 1907 Nigeria 2002 Developing 47.7
## 1908 Nigeria 2001 Developing 47.4
## 1909 Nigeria 2000 Developing 47.1
## 1942 Oman 2000 Developing 72.6
## 2184 Saint Lucia 2000 Developing 71.6
## 2200 Saint Vincent and the Grenadines 2000 Developing 79.0
## 2297 Seychelles 2000 Developing 71.8
## 2415 South Sudan 2010 Developing 55.0
## 2416 South Sudan 2009 Developing 54.3
## 2417 South Sudan 2008 Developing 53.6
## 2418 South Sudan 2007 Developing 53.1
## 2419 South Sudan 2006 Developing 52.5
## 2420 South Sudan 2005 Developing 51.9
## 2421 South Sudan 2004 Developing 51.4
## 2422 South Sudan 2003 Developing 58.0
## 2423 South Sudan 2002 Developing 52.0
## 2424 South Sudan 2001 Developing 49.6
## 2425 South Sudan 2000 Developing 48.9
## 2485 Suriname 2004 Developing 68.3
## 2486 Suriname 2003 Developing 68.0
## 2487 Suriname 2002 Developing 67.9
## 2488 Suriname 2001 Developing 67.7
## 2489 Suriname 2000 Developing 67.4
## 2596 The former Yugoslav republic of Macedonia 2005 Developing 73.6
## 2597 The former Yugoslav republic of Macedonia 2004 Developing 73.5
## 2598 The former Yugoslav republic of Macedonia 2003 Developing 73.2
## 2599 The former Yugoslav republic of Macedonia 2002 Developing 72.8
## 2600 The former Yugoslav republic of Macedonia 2001 Developing 73.1
## 2601 The former Yugoslav republic of Macedonia 2000 Developing 72.6
## 2617 Timor-Leste 2000 Developing 58.7
## 2703 Turkmenistan 2010 Developing 65.8
## 2704 Turkmenistan 2009 Developing 65.6
## 2705 Turkmenistan 2008 Developing 64.5
## 2706 Turkmenistan 2007 Developing 64.1
## 2707 Turkmenistan 2006 Developing 63.7
## 2708 Turkmenistan 2005 Developing 63.3
## 2709 Turkmenistan 2004 Developing 63.5
## 2710 Turkmenistan 2003 Developing 63.4
## 2711 Turkmenistan 2002 Developing 63.3
## 2712 Turkmenistan 2001 Developing 64.0
## 2713 Turkmenistan 2000 Developing 63.8
## 2842 Uzbekistan 2000 Developing 67.1
## 2853 Vanuatu 2005 Developing 69.9
## 2854 Vanuatu 2004 Developing 69.6
## 2855 Vanuatu 2003 Developing 69.4
## 2856 Vanuatu 2002 Developing 69.3
## 2857 Vanuatu 2001 Developing 69.1
## 2858 Vanuatu 2000 Developing 69.0
## Adult.Mortality infant.deaths Alcohol percentage.expenditure Hepatitis.B
## 75 147 0 8.15 1455.6081860 99
## 76 149 0 7.28 22.8629521 97
## 77 151 0 7.16 1158.0652590 99
## 78 153 0 7.21 927.4075855 99
## 79 154 0 7.51 163.7676978 96
## 80 156 0 7.27 1127.7434700 NA
## 176 192 0 12.15 0.0000000 NA
## 294 228 1 0.28 244.0391949 91
## 295 232 1 0.17 27.4890705 93
## 296 234 1 0.21 302.6675790 96
## 297 238 1 0.16 283.8062360 95
## 298 245 1 0.29 169.2023968 95
## 299 254 1 0.73 145.5965445 95
## 300 263 1 0.96 2.5866982 89
## 301 273 1 0.52 19.1566409 95
## 302 282 1 0.29 151.9755193 83
## 303 29 1 0.14 8.5740298 89
## 304 312 1 0.17 93.3587284 98
## 331 12 0 4.56 45.7135426 93
## 332 99 0 4.25 3.4799189 36
## 333 12 0 4.14 39.8651804 NA
## 334 11 0 3.84 151.1399301 NA
## 335 113 0 3.85 143.2947487 NA
## 336 116 0 3.64 165.6168642 NA
## 411 313 48 4.88 8.7699893 NA
## 412 323 49 4.54 56.9610809 NA
## 413 332 49 4.58 41.6095128 NA
## 414 338 49 4.53 3.1955668 NA
## 415 344 48 4.56 23.1016899 NA
## 416 348 48 3.71 19.8392960 NA
## 464 155 0 3.49 122.5744699 NA
## 544 44 41 0.25 21.5270162 NA
## 604 269 2 0.27 7.2121108 77
## 605 271 2 0.26 45.0901084 28
## 606 271 2 0.08 29.4189749 NA
## 607 272 1 0.08 19.7174104 NA
## 608 272 1 0.09 35.0294862 NA
## 850 336 3 4.46 14.9545132 NA
## 861 34 7 1.07 5.0646890 96
## 862 342 7 0.64 10.2609734 84
## 863 343 7 0.56 6.9139980 91
## 864 343 7 0.83 0.7031322 86
## 865 345 7 0.61 5.5936195 NA
## 866 593 7 0.83 0.7359404 NA
## 898 391 253 0.88 11.5948177 NA
## 994 129 2 3.28 47.8170418 55
## 1048 154 0 7.91 145.8401998 97
## 1049 158 0 8.42 146.4384488 99
## 1050 162 0 8.92 754.9597129 99
## 1051 164 0 9.06 95.1937592 96
## 1052 167 0 9.06 662.2663687 91
## 1053 169 0 8.80 119.5548694 99
## 1054 187 0 8.43 100.9658730 83
## 1055 173 0 9.75 77.9454329 97
## 1056 176 0 10.71 513.3465408 98
## 1057 178 0 9.61 81.1135595 96
## 1058 182 0 9.40 676.5453878 NA
## 1101 37 5 3.10 22.0975798 NA
## 1102 38 5 2.58 13.5299956 NA
## 1103 38 5 2.16 2.5271154 NA
## 1104 35 5 2.47 24.6576176 NA
## 1105 32 5 2.55 0.8687085 NA
## 1106 3 5 2.84 6.6994187 NA
## 1389 213 0 0.60 111.7392134 5
## 1390 214 0 0.48 10.6242741 67
## 1391 215 0 0.50 1.7654135 73
## 1392 217 0 0.49 70.7557222 79
## 1393 219 0 0.60 59.9718585 85
## 1394 222 0 0.46 11.0754333 9
## 1469 11 1 1.94 630.0540723 77
## 1470 13 1 2.10 618.3614858 75
## 1471 15 1 2.19 527.9176618 74
## 1472 17 1 1.98 70.1320784 77
## 1473 11 1 2.19 510.6035166 8
## 1474 112 1 2.26 404.3879434 83
## 1570 283 44 1.16 35.6612506 NA
## 1715 185 0 2.23 0.0000000 87
## 1745 134 0 0.01 495.0782963 NA
## 1746 136 0 0.01 36.4802403 NA
## 1747 136 0 0.01 33.6698136 NA
## 1748 144 0 0.01 274.5472605 NA
## 1906 41 567 9.75 30.1955085 NA
## 1907 49 571 9.61 17.1377540 NA
## 1908 48 574 9.58 15.8309850 NA
## 1909 45 576 9.23 22.4817761 NA
## 1942 138 1 0.38 62.8665751 99
## 2184 183 0 11.69 0.0000000 NA
## 2200 186 0 4.80 0.0000000 NA
## 2297 188 0 8.24 601.7608115 98
## 2415 359 27 NA 0.0000000 NA
## 2416 369 27 NA 0.0000000 NA
## 2417 377 27 NA 0.0000000 NA
## 2418 381 27 NA 0.0000000 NA
## 2419 383 28 NA 0.0000000 NA
## 2420 383 28 NA 0.0000000 NA
## 2421 383 29 NA 0.0000000 NA
## 2422 383 29 NA 0.0000000 NA
## 2423 382 30 NA 0.0000000 NA
## 2424 381 30 NA 0.0000000 NA
## 2425 38 31 NA 0.0000000 NA
## 2485 214 0 4.55 4.2325767 NA
## 2486 223 0 4.53 32.3662077 NA
## 2487 221 0 4.41 250.7112373 NA
## 2488 219 0 4.23 191.2135044 NA
## 2489 224 0 4.29 268.1837972 NA
## 2596 12 0 1.75 0.0000000 53
## 2597 12 0 2.07 0.0000000 NA
## 2598 126 0 2.40 0.0000000 NA
## 2599 128 0 2.53 0.0000000 NA
## 2600 126 0 3.27 0.0000000 NA
## 2601 125 0 2.86 0.0000000 NA
## 2617 276 3 0.50 49.0696716 NA
## 2703 211 7 2.48 385.3251640 96
## 2704 215 6 2.35 37.8846606 97
## 2705 235 6 2.40 34.2397942 96
## 2706 241 6 2.58 0.3586514 98
## 2707 245 6 2.71 29.2723537 98
## 2708 248 6 2.85 2.1988858 99
## 2709 238 6 2.86 186.1013972 96
## 2710 231 7 2.88 179.6156482 97
## 2711 229 7 2.33 130.3784829 96
## 2712 221 7 2.35 106.1807060 NA
## 2713 224 7 2.90 88.2436347 NA
## 2842 189 30 1.60 48.5094174 NA
## 2853 165 0 0.88 337.2942846 61
## 2854 169 0 0.85 334.1673373 63
## 2855 173 0 1.20 27.2983907 64
## 2856 176 0 1.24 171.1373611 66
## 2857 179 0 0.91 163.1052920 68
## 2858 18 0 1.21 21.9007523 7
## Measles BMI under.five.deaths Polio Total.expenditure Diphtheria HIV.AIDS
## 75 0 41.4 0 98 4.41 99 0.1
## 76 0 4.8 0 97 4.21 97 0.1
## 77 0 4.1 0 99 4.53 99 0.1
## 78 0 39.5 0 93 4.41 98 0.1
## 79 0 38.9 0 99 4.48 97 0.1
## 80 0 38.2 0 96 4.13 95 0.1
## 176 0 54.4 0 91 5.21 99 0.1
## 294 21 2.3 1 92 5.17 91 0.5
## 295 6 19.5 1 93 6.30 93 0.4
## 296 7 18.8 1 96 6.58 96 0.4
## 297 11 18.0 1 93 5.88 95 0.3
## 298 2 17.4 1 96 5.27 95 0.3
## 299 11 16.7 1 95 5.28 95 0.3
## 300 3 16.1 1 9 4.41 89 0.3
## 301 0 15.5 1 96 4.90 95 0.2
## 302 27 14.9 1 89 7.75 86 0.1
## 303 756 14.4 1 88 5.91 88 0.1
## 304 418 13.9 1 98 6.91 92 0.1
## 331 23 5.5 0 95 8.50 93 0.1
## 332 28 49.9 0 87 9.40 84 0.1
## 333 18 49.4 0 87 7.94 87 0.1
## 334 28 48.8 0 86 7.10 8 0.1
## 335 0 48.2 0 92 7.16 91 0.1
## 336 43 47.6 0 87 7.90 85 0.1
## 411 253 14.2 89 94 6.87 82 2.3
## 412 77 13.7 91 83 6.45 79 2.5
## 413 1000 13.3 92 83 5.61 79 2.9
## 414 1000 12.9 93 69 5.26 69 3.2
## 415 1000 12.5 93 62 4.85 62 3.6
## 416 1000 12.2 92 45 5.60 45 4.0
## 464 2 21.5 0 9 4.81 9 0.8
## 544 1000 13.9 74 3 6.28 36 4.6
## 604 0 18.8 2 73 3.96 76 0.1
## 605 0 18.4 2 8 3.65 8 0.1
## 606 0 18.0 2 98 3.39 89 0.1
## 607 0 17.6 2 7 2.86 7 0.1
## 608 0 17.3 2 7 3.56 7 0.1
## 850 0 18.3 4 41 2.73 34 1.9
## 861 19 13.9 9 96 2.97 96 1.6
## 862 24 13.6 10 98 3.14 98 1.8
## 863 376 13.3 10 95 3.50 93 1.9
## 864 460 13.1 10 92 4.20 9 1.9
## 865 204 12.8 10 89 3.95 86 2.0
## 866 789 12.6 10 82 4.43 81 1.9
## 898 1000 12.3 404 55 4.36 3 5.0
## 994 50 46.0 2 81 6.94 8 0.1
## 1048 0 43.9 0 94 6.41 97 0.1
## 1049 0 43.1 0 99 6.24 99 0.1
## 1050 0 42.4 0 99 5.76 99 0.1
## 1051 0 41.8 0 96 5.88 96 0.1
## 1052 0 41.1 0 91 5.99 91 0.1
## 1053 0 4.5 0 99 5.50 99 0.1
## 1054 0 39.9 0 84 5.24 83 0.1
## 1055 0 39.4 0 98 5.89 97 0.1
## 1056 0 38.8 0 98 6.67 98 0.1
## 1057 0 38.2 0 96 7.67 96 0.1
## 1058 0 37.7 0 97 6.62 97 0.1
## 1101 0 2.1 8 73 5.72 68 5.4
## 1102 1000 19.6 8 69 5.41 64 5.0
## 1103 1000 19.0 8 65 5.62 6 4.6
## 1104 298 18.5 8 61 5.84 57 4.1
## 1105 126 17.9 9 56 5.40 53 3.6
## 1106 0 17.4 9 52 4.94 49 3.1
## 1389 0 72.1 0 74 1.60 79 0.1
## 1390 0 71.4 0 61 1.39 62 0.1
## 1391 0 7.6 0 79 9.98 7 0.1
## 1392 0 69.7 0 96 9.10 77 0.1
## 1393 0 68.8 0 88 9.00 85 0.1
## 1394 0 67.9 0 9 8.12 9 0.1
## 1469 618 6.8 1 74 8.42 77 0.1
## 1470 213 6.2 1 74 8.91 75 0.1
## 1471 526 59.7 1 74 9.30 74 0.1
## 1472 36 59.1 1 77 1.50 77 0.1
## 1473 8 58.6 1 8 1.90 8 0.1
## 1474 5 57.9 1 83 1.86 83 0.1
## 1570 1000 13.9 68 58 5.80 57 0.6
## 1715 0 61.5 0 85 7.88 85 0.1
## 1745 0 54.2 0 NA 8.91 NA 0.1
## 1746 0 53.5 0 NA 8.33 NA 0.1
## 1747 0 52.7 0 NA 8.23 NA 0.1
## 1748 0 51.9 0 NA 7.32 NA 0.1
## 1906 1000 18.3 918 42 4.50 29 5.4
## 1907 1000 17.8 928 4 2.43 25 5.3
## 1908 1000 17.3 936 36 3.25 27 5.1
## 1909 1000 16.9 943 31 2.84 29 4.9
## 1942 15 45.9 1 99 3.70 99 0.1
## 2184 0 36.8 0 7 5.53 7 0.4
## 2200 0 4.1 0 99 3.73 98 0.7
## 2297 0 27.1 0 98 4.62 98 0.1
## 2415 0 NA 41 NA NA NA 4.0
## 2416 0 NA 42 NA NA NA 4.2
## 2417 0 NA 42 NA NA NA 4.2
## 2418 0 NA 43 NA NA NA 4.2
## 2419 0 NA 43 NA NA NA 4.1
## 2420 0 NA 44 NA NA NA 3.9
## 2421 0 NA 45 NA NA NA 3.8
## 2422 0 NA 46 NA NA NA 3.5
## 2423 0 NA 48 NA NA NA 3.3
## 2424 0 NA 49 NA NA NA 3.0
## 2425 0 NA 50 NA NA NA 2.7
## 2485 0 5.4 0 84 6.88 85 0.9
## 2486 0 49.7 0 74 6.62 75 1.0
## 2487 0 49.0 0 74 7.14 73 1.6
## 2488 0 48.3 0 65 8.38 68 1.8
## 2489 0 47.6 0 7 9.65 71 0.4
## 2596 5 54.9 0 98 7.95 97 0.1
## 2597 9 54.5 0 95 8.64 94 0.1
## 2598 18 54.1 0 96 9.17 96 0.1
## 2599 19 53.6 0 97 9.10 96 0.1
## 2600 27 53.2 0 91 8.18 91 0.1
## 2601 36 52.7 0 96 8.52 95 0.1
## 2617 0 11.9 4 NA 3.26 NA 0.1
## 2703 0 44.2 8 96 1.99 96 0.1
## 2704 0 43.4 8 97 1.88 96 0.1
## 2705 0 42.7 8 96 1.93 96 0.1
## 2706 59 42.0 8 98 2.16 98 0.1
## 2707 48 41.3 8 98 2.90 98 0.1
## 2708 0 4.7 8 99 3.51 99 0.1
## 2709 1 4.0 8 98 4.30 97 0.1
## 2710 1 39.4 8 66 3.85 83 0.1
## 2711 11 38.7 8 99 3.34 98 0.1
## 2712 9 38.1 9 94 3.87 95 0.1
## 2713 113 37.5 9 98 3.94 97 0.1
## 2842 80 34.8 36 99 5.29 99 0.1
## 2853 3 44.9 0 67 3.87 68 0.1
## 2854 0 44.1 0 67 4.12 69 0.1
## 2855 165 43.3 0 67 4.20 69 0.1
## 2856 101 42.6 0 67 3.52 7 0.1
## 2857 7 41.9 0 67 3.37 7 0.1
## 2858 9 41.1 0 67 3.28 71 0.1
## GDP Population thinness..1.19.years thinness.5.9.years
## 75 11371.93895 NA 3.5 3.4
## 76 1352.83740 NA 3.5 3.4
## 77 9739.82556 NA 3.5 3.5
## 78 9386.71645 NA 3.6 3.5
## 79 9358.15416 NA 3.6 3.5
## 80 9875.16174 NA 3.7 3.6
## 176 NA NA 2.7 2.6
## 294 2178.92138 727641 16.6 17.3
## 295 177.23450 714458 16.8 17.5
## 296 1795.18137 795 17.1 17.8
## 297 1741.14255 686958 17.3 18.1
## 298 1335.45696 672228 17.5 18.3
## 299 1247.61392 656639 17.8 18.6
## 300 197.45788 64282 18.0 18.8
## 301 997.74171 623434 18.3 19.1
## 302 885.63822 66399 18.6 19.4
## 303 87.93877 5896 18.9 19.6
## 304 765.86324 573416 19.2 19.9
## 331 2968.41186 378153 2.9 2.9
## 332 265.64266 3781287 3.0 3.0
## 333 2214.73225 3779247 3.0 3.0
## 334 1761.53765 377587 3.1 3.1
## 335 1524.41222 3771284 3.2 3.2
## 336 1461.75520 376676 3.3 3.2
## 411 46.99887 1342193 1.3 9.8
## 412 371.32387 133569 1.5 1.1
## 413 332.34435 12654621 1.7 1.3
## 414 26.76354 122931 11.0 1.6
## 415 235.49123 11944587 11.2 1.8
## 416 226.47598 1167942 11.4 11.1
## 464 1239.37785 43579 9.6 9.5
## 544 166.23179 8342559 11.5 11.4
## 604 616.41972 597228 7.5 7.5
## 605 544.56653 583211 7.6 7.6
## 606 433.26915 569479 7.7 7.7
## 607 395.93194 555888 7.8 7.8
## 608 375.85286 542357 7.9 7.9
## 850 172.68491 614323 1.7 1.6
## 861 276.75896 39697 9.4 9.5
## 862 287.42222 3858623 9.6 9.6
## 863 232.79455 3738265 9.7 9.7
## 864 21.76880 3614639 9.9 9.9
## 865 215.13921 3497124 1.0 1.0
## 866 28.19695 339281 1.2 1.1
## 898 123.87626 66537331 11.9 11.8
## 994 691.99771 44183 3.1 3.1
## 1048 7365.66666 NA 3.8 3.8
## 1049 7395.88125 NA 3.8 3.8
## 1050 7946.94435 NA 3.8 3.9
## 1051 7322.59686 NA 3.9 3.9
## 1052 6764.72287 NA 3.9 3.9
## 1053 6754.51239 NA 3.9 4.0
## 1054 5836.17763 NA 4.0 4.0
## 1055 5773.73577 NA 4.0 4.1
## 1056 5292.23238 NA 4.1 4.1
## 1057 519.95871 NA 4.2 4.2
## 1058 5117.58992 NA 4.3 4.2
## 1101 424.95346 138838 9.2 9.0
## 1102 393.31382 135345 9.4 9.3
## 1103 36.57186 132122 9.6 9.5
## 1104 321.48132 1293523 9.8 9.7
## 1105 39.48675 1267512 1.0 1.0
## 1106 297.75194 1243229 1.2 1.2
## 1389 1214.55667 92325 0.2 0.2
## 1390 113.62860 9542 0.2 0.2
## 1391 115.38650 88895 0.2 0.2
## 1392 826.58554 87343 0.2 0.2
## 1393 734.94925 85858 0.2 0.2
## 1394 796.79376 8446 0.2 0.2
## 1469 5339.44129 3986852 4.7 4.6
## 1470 5424.22356 3863267 4.7 4.6
## 1471 5425.66970 371464 4.8 4.7
## 1472 5436.59522 3522837 4.8 4.7
## 1473 5253.12260 3359859 4.9 4.7
## 1474 5334.93329 3235366 4.9 4.8
## 1570 245.93966 1576686 8.7 8.6
## 1715 NA NA 0.3 0.3
## 1745 2789.17350 612267 2.4 2.4
## 1746 216.24327 69828 2.5 2.5
## 1747 199.58396 67389 2.5 2.6
## 1748 1627.42893 6495 2.6 2.7
## 1906 512.65719 131972533 13.5 13.6
## 1907 459.45721 12866671 13.8 13.8
## 1908 351.79967 125463434 14.1 14.1
## 1909 379.11933 1223529 14.3 14.4
## 1942 861.18596 NA 7.2 6.9
## 2184 NA NA 4.5 4.5
## 2200 NA NA 4.0 3.9
## 2297 7578.85153 81131 6.3 6.7
## 2415 1562.23935 167192 NA NA
## 2416 1264.78998 967667 NA NA
## 2417 1678.71186 9263136 NA NA
## 2418 NA 88568 NA NA
## 2419 NA 8468152 NA NA
## 2420 NA 818877 NA NA
## 2421 NA 7787655 NA NA
## 2422 NA 751642 NA NA
## 2423 NA 7237276 NA NA
## 2424 NA 6974442 NA NA
## 2425 NA 67656 NA NA
## 2485 36.48773 49363 3.5 3.5
## 2486 263.13990 488332 3.5 3.5
## 2487 2232.51324 48344 3.5 3.5
## 2488 1598.77512 47774 3.6 3.5
## 2489 1888.61829 47239 3.6 3.6
## 2596 NA NA 2.5 2.6
## 2597 NA NA 2.6 2.6
## 2598 NA NA 2.7 2.7
## 2599 NA NA 2.7 2.7
## 2600 NA NA 2.8 2.8
## 2601 NA NA 2.8 2.8
## 2617 422.28633 87167 12.2 12.2
## 2703 4439.23000 58721 3.2 3.3
## 2704 436.45922 5795 3.2 3.3
## 2705 394.46767 4935762 3.2 3.3
## 2706 26.37143 487137 3.3 3.3
## 2707 2136.66815 48115 3.3 3.3
## 2708 174.51475 4754641 3.4 3.4
## 2709 1453.91717 473398 3.4 3.4
## 2710 1283.88598 4655741 3.5 3.4
## 2711 967.91747 4612 3.5 3.5
## 2712 774.47634 45648 3.6 3.5
## 2713 643.17518 4516131 3.6 3.6
## 2842 558.22114 24654 3.4 3.4
## 2853 1886.43336 2937 1.6 1.5
## 2854 1787.94723 24143 1.6 1.5
## 2855 158.52724 198964 1.6 1.6
## 2856 1353.93482 193956 1.7 1.6
## 2857 1362.61731 18929 1.7 1.6
## 2858 1469.84915 18563 1.7 1.7
## Income.composition.of.resources Schooling
## 75 0 0.0
## 76 0 0.0
## 77 0 0.0
## 78 0 0.0
## 79 0 0.0
## 80 0 0.0
## 176 0 12.0
## 294 0 11.4
## 295 0 10.9
## 296 0 10.5
## 297 0 10.1
## 298 0 9.6
## 299 0 9.2
## 300 0 8.8
## 301 0 8.4
## 302 0 8.0
## 303 0 7.6
## 304 0 7.3
## 331 0 12.5
## 332 0 12.3
## 333 0 12.1
## 334 0 11.9
## 335 0 11.6
## 336 0 0.0
## 411 0 4.3
## 412 0 3.9
## 413 0 3.8
## 414 0 3.6
## 415 0 3.5
## 416 0 3.4
## 464 0 11.3
## 544 0 4.7
## 604 0 9.5
## 605 0 9.2
## 606 0 8.8
## 607 0 8.5
## 608 0 8.2
## 850 0 0.0
## 861 0 5.4
## 862 0 5.0
## 863 0 4.7
## 864 0 4.4
## 865 0 4.3
## 866 0 3.9
## 898 0 3.9
## 994 0 11.4
## 1048 0 15.8
## 1049 0 15.6
## 1050 0 15.4
## 1051 0 15.3
## 1052 0 15.1
## 1053 0 14.9
## 1054 0 14.8
## 1055 0 14.6
## 1056 0 14.4
## 1057 0 14.3
## 1058 0 14.1
## 1101 0 8.0
## 1102 0 7.7
## 1103 0 7.4
## 1104 0 7.1
## 1105 0 6.7
## 1106 0 6.4
## 1389 0 12.2
## 1390 0 12.4
## 1391 0 11.6
## 1392 0 11.7
## 1393 0 10.4
## 1394 0 10.0
## 1469 0 13.7
## 1470 0 14.2
## 1471 0 14.8
## 1472 0 15.2
## 1473 0 15.0
## 1474 0 14.9
## 1570 0 8.0
## 1715 0 0.0
## 1745 0 0.0
## 1746 0 0.0
## 1747 0 0.0
## 1748 0 0.0
## 1906 0 8.1
## 1907 0 7.7
## 1908 0 8.0
## 1909 0 7.6
## 1942 0 10.4
## 2184 0 12.8
## 2200 0 12.7
## 2297 0 12.3
## 2415 0 0.0
## 2416 0 0.0
## 2417 0 0.0
## 2418 0 0.0
## 2419 0 0.0
## 2420 0 0.0
## 2421 0 0.0
## 2422 0 0.0
## 2423 0 0.0
## 2424 0 0.0
## 2425 0 0.0
## 2485 0 11.1
## 2486 0 10.9
## 2487 0 11.0
## 2488 0 11.0
## 2489 0 11.1
## 2596 0 11.9
## 2597 0 11.9
## 2598 0 11.9
## 2599 0 11.9
## 2600 0 11.8
## 2601 0 11.7
## 2617 0 0.0
## 2703 0 10.6
## 2704 0 10.5
## 2705 0 10.5
## 2706 0 10.4
## 2707 0 10.4
## 2708 0 10.3
## 2709 0 10.3
## 2710 0 10.3
## 2711 0 10.2
## 2712 0 10.2
## 2713 0 0.0
## 2842 0 10.6
## 2853 0 10.6
## 2854 0 10.7
## 2855 0 10.4
## 2856 0 10.2
## 2857 0 10.1
## 2858 0 9.6How much has improvement in health (based on health predictors) lowered life expectancy?
- “It has been observed that in the past 15 years , there has been a huge development in health sector resulting in improvement of human mortality rates especially in the developing nations in comparison to the past 30 years.”
How does spending more money on health (ex: percentage expenditure or total expenditure) impact other factors that affect life expectancy?
##Jessica EDA
Social: status, alcohol, population, BMI, thinness(10-19), thinness(5-9), schooling
EDA: predictors vs response
# Install and load necessary libraries
library(ggplot2)
library(dplyr)
model <- lm(data$`Life.expectancy` ~ `Status` + `Alcohol` + `Population` + `BMI` + thinness..1.19.years + thinness.5.9.years + `Schooling`, data = data)
# Summarize the model
summary(model)##
## Call:
## lm(formula = data$Life.expectancy ~ Status + Alcohol + Population +
## BMI + thinness..1.19.years + thinness.5.9.years + Schooling,
## data = data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -25.8852 -3.3294 0.5154 4.0088 26.9380
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.972e+01 8.979e-01 55.376 < 2e-16 ***
## StatusDeveloping -4.249e+00 4.427e-01 -9.597 < 2e-16 ***
## Alcohol -4.183e-01 4.491e-02 -9.312 < 2e-16 ***
## Population 6.829e-09 2.134e-09 3.201 0.00139 **
## BMI 9.246e-02 8.797e-03 10.509 < 2e-16 ***
## thinness..1.19.years -1.331e-01 7.548e-02 -1.764 0.07794 .
## thinness.5.9.years -7.969e-02 7.380e-02 -1.080 0.28040
## Schooling 1.839e+00 5.774e-02 31.849 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 5.901 on 2106 degrees of freedom
## (824 observations deleted due to missingness)
## Multiple R-squared: 0.6435, Adjusted R-squared: 0.6424
## F-statistic: 543.2 on 7 and 2106 DF, p-value: < 2.2e-16data$Status <- as.factor(data$Status)
plot(Life.expectancy ~ Status, data = data,
col = ifelse(data$Status == "Developed", "blue", "red"),
main = "Status vs. Life Expectancy",
xlab = "Status", ylab = "Life Expectancy")
plot(Life.expectancy~Alcohol,data=data, main = "Scatter Plot of Alcohol Consumption vs. Life Expectancy",
xlab = "Alcohol Consumption", ylab = "Life Expectancy")
plot(Life.expectancy~Population,data=data, main = "Scatter Plot of Population vs. Life Expectancy",
xlab = "Population", ylab = "Life Expectancy")
plot(Life.expectancy~BMI,data=data, main = "Scatter Plot of BMI vs. Life Expectancy",
xlab = "BMI", ylab = "Life Expectancy")
plot(Life.expectancy~thinness..1.19.years,data=data, main = "Thinness 10-19 years vs. Life Expectancy",
xlab = "Thinness 10-19 years", ylab = "Life Expectancy")
plot(Life.expectancy~thinness.5.9.years,data=data, main = "Scatter Plot of Thinness 5-9 years vs. Life Expectancy",
xlab = "Thinness 5-9 years", ylab = "Life Expectancy")
plot(Life.expectancy~Schooling,data=data, main = "Schooling vs. Life Expectancy",
xlab = "Schooling", ylab = "Life Expectancy")
Group Lasso code:
library(grpreg)##
## Attaching package: 'grpreg'## The following object is masked from 'package:dplyr':
##
## selectX <- as.matrix(imputed_data[, c("Hepatitis.B", "Polio", "Diphtheria", "Adult.Mortality", "under.five.deaths", "HIV.AIDS", "percentage.expenditure", "GDP", "Income.composition.of.resources", "Alcohol", "Population", "BMI")])
y <- imputed_data$Life.expectancy
# Specify group indices
group_indices <- list(c(1, 2, 3), c(4, 5, 6), c(7, 8, 9), c(10, 11, 12))
# Perform linear regression with group lasso
fit <- grpreg(X, y, groups = group_indices, penalty = "grLasso")
# Display coefficients
coef(fit)## 7.0023 6.3802 5.8134 5.297
## (Intercept) 69.23181 67.375620 66.546124572 65.965901992
## Hepatitis.B 0.00000 0.000000 0.000000000 0.000000000
## Polio 0.00000 0.000000 0.000000000 0.000000000
## Diphtheria 0.00000 0.000000 0.000000000 0.000000000
## Adult.Mortality 0.00000 0.000000 -0.002530686 -0.005352157
## under.five.deaths 0.00000 0.000000 0.000000000 0.000000000
## HIV.AIDS 0.00000 0.000000 0.000000000 0.000000000
## percentage.expenditure 0.00000 0.000000 0.000000000 0.000000000
## GDP 0.00000 0.000000 0.000000000 0.000000000
## Income.composition.of.resources 0.00000 2.961789 4.950222161 6.617303940
## Alcohol 0.00000 0.000000 0.000000000 0.000000000
## Population 0.00000 0.000000 0.000000000 0.000000000
## BMI 0.00000 0.000000 0.000000000 0.000000000
## 4.8264 4.3976 4.007
## (Intercept) 65.437247967 64.95555811 64.51666026
## Hepatitis.B 0.000000000 0.00000000 0.00000000
## Polio 0.000000000 0.00000000 0.00000000
## Diphtheria 0.000000000 0.00000000 0.00000000
## Adult.Mortality -0.007923045 -0.01026554 -0.01239994
## under.five.deaths 0.000000000 0.00000000 0.00000000
## HIV.AIDS 0.000000000 0.00000000 0.00000000
## percentage.expenditure 0.000000000 0.00000000 0.00000000
## GDP 0.000000000 0.00000000 0.00000000
## Income.composition.of.resources 8.136267665 9.52029084 10.78136120
## Alcohol 0.000000000 0.00000000 0.00000000
## Population 0.000000000 0.00000000 0.00000000
## BMI 0.000000000 0.00000000 0.00000000
## 3.651 3.3267 3.0311
## (Intercept) 64.08652178 63.65386474 63.25978722
## Hepatitis.B 0.00000000 0.00000000 0.00000000
## Polio 0.00000000 0.00000000 0.00000000
## Diphtheria 0.00000000 0.00000000 0.00000000
## Adult.Mortality -0.01394833 -0.01483558 -0.01564447
## under.five.deaths 0.00000000 0.00000000 0.00000000
## HIV.AIDS -0.01867954 -0.06023126 -0.09808893
## percentage.expenditure 0.00000000 0.00000000 0.00000000
## GDP 0.00000000 0.00000000 0.00000000
## Income.composition.of.resources 11.92642398 12.96538664 13.91193669
## Alcohol 0.00000000 0.00000000 0.00000000
## Population 0.00000000 0.00000000 0.00000000
## BMI 0.00000000 0.00000000 0.00000000
## 2.7618 2.5165 2.2929
## (Intercept) 62.793564362 62.35498110 61.871364979
## Hepatitis.B 0.000000000 0.00000000 0.000000000
## Polio 0.000000000 0.00000000 0.000000000
## Diphtheria 0.000000000 0.00000000 0.001561939
## Adult.Mortality -0.016217427 -0.01671853 -0.017159443
## under.five.deaths 0.000000000 0.00000000 0.000000000
## HIV.AIDS -0.131423169 -0.16166201 -0.189076496
## percentage.expenditure 0.000000000 0.00000000 0.000000000
## GDP 0.000000000 0.00000000 0.000000000
## Income.composition.of.resources 14.525546962 15.05794425 15.475356294
## Alcohol 0.000000000 0.00000000 0.000000000
## Population 0.000000000 0.00000000 0.000000000
## BMI 0.006140176 0.01243862 0.018056060
## 2.0892 1.9036 1.7345
## (Intercept) 61.2000843867 60.528266099 59.917798299
## Hepatitis.B 0.0000000000 0.000000000 0.000000000
## Polio 0.0008303576 0.003927701 0.006711746
## Diphtheria 0.0061825613 0.008985667 0.011567256
## Adult.Mortality -0.0174978161 -0.017783373 -0.018046510
## under.five.deaths 0.0000000000 0.000000000 0.000000000
## HIV.AIDS -0.2137581347 -0.236250082 -0.256743240
## percentage.expenditure 0.0000000000 0.000000000 0.000000000
## GDP 0.0000000000 0.000000000 0.000000000
## Income.composition.of.resources 15.7003755319 15.879464262 16.042248774
## Alcohol 0.0000000000 0.000000000 0.000000000
## Population 0.0000000000 0.000000000 0.000000000
## BMI 0.0228113671 0.027026072 0.030864920
## 1.5804 1.44 1.3121
## (Intercept) 5.938407e+01 5.892681e+01 58.5125300123
## Hepatitis.B 0.000000e+00 0.000000e+00 0.0000000000
## Polio 9.195198e-03 1.143885e-02 0.0134652559
## Diphtheria 1.396738e-02 1.617610e-02 0.0182046599
## Adult.Mortality -1.826069e-02 -1.839233e-02 -0.0185177962
## under.five.deaths 0.000000e+00 0.000000e+00 0.0000000000
## HIV.AIDS -2.756891e-01 -2.934318e-01 -0.3095935046
## percentage.expenditure 0.000000e+00 0.000000e+00 0.0000000000
## GDP 2.546966e-06 9.025348e-06 0.0000149664
## Income.composition.of.resources 1.612916e+01 1.611149e+01 16.0934782012
## Alcohol 0.000000e+00 0.000000e+00 0.0000000000
## Population 0.000000e+00 0.000000e+00 0.0000000000
## BMI 3.423690e-02 3.713247e-02 0.0397611006
## 1.1955 1.0893 0.9926
## (Intercept) 5.813447e+01 5.781288e+01 5.752485e+01
## Hepatitis.B 0.000000e+00 0.000000e+00 0.000000e+00
## Polio 1.530982e-02 1.692920e-02 1.838369e-02
## Diphtheria 2.003886e-02 2.172467e-02 2.324480e-02
## Adult.Mortality -1.862941e-02 -1.875059e-02 -1.886131e-02
## under.five.deaths 0.000000e+00 0.000000e+00 0.000000e+00
## HIV.AIDS -3.243266e-01 -3.384854e-01 -3.516078e-01
## percentage.expenditure 0.000000e+00 0.000000e+00 0.000000e+00
## GDP 2.036671e-05 2.469797e-05 2.849556e-05
## Income.composition.of.resources 1.607948e+01 1.598024e+01 1.587089e+01
## Alcohol 0.000000e+00 1.205461e-02 2.620729e-02
## Population 0.000000e+00 0.000000e+00 0.000000e+00
## BMI 4.215730e-02 4.404036e-02 4.567380e-02
## 0.9044 0.824 0.7508
## (Intercept) 5.726254e+01 5.702354e+01 5.680576e+01
## Hepatitis.B 0.000000e+00 0.000000e+00 0.000000e+00
## Polio 1.969947e-02 2.089833e-02 2.199070e-02
## Diphtheria 2.463291e-02 2.589772e-02 2.705016e-02
## Adult.Mortality -1.896206e-02 -1.905386e-02 -1.913751e-02
## under.five.deaths 0.000000e+00 0.000000e+00 0.000000e+00
## HIV.AIDS -3.635599e-01 -3.744503e-01 -3.843732e-01
## percentage.expenditure 0.000000e+00 0.000000e+00 0.000000e+00
## GDP 3.194845e-05 3.509462e-05 3.796129e-05
## Income.composition.of.resources 1.577186e+01 1.568163e+01 1.559941e+01
## Alcohol 3.910725e-02 5.086120e-02 6.157097e-02
## Population 0.000000e+00 0.000000e+00 0.000000e+00
## BMI 4.716277e-02 4.851946e-02 4.975563e-02
## 0.6841 0.6234 0.568
## (Intercept) 56.6073372934 5.645779e+01 5.634086e+01
## Hepatitis.B 0.0000000000 0.000000e+00 0.000000e+00
## Polio 0.0229860171 2.379458e-02 2.453619e-02
## Diphtheria 0.0281002303 2.902195e-02 2.968728e-02
## Adult.Mortality -0.0192137224 -1.929706e-02 -1.935735e-02
## under.five.deaths 0.0000000000 -1.340164e-04 -3.795519e-04
## HIV.AIDS -0.3934145112 -4.017359e-01 -4.095091e-01
## percentage.expenditure 0.0000000000 0.000000e+00 0.000000e+00
## GDP 0.0000405733 4.296209e-05 4.498806e-05
## Income.composition.of.resources 15.5244946965 1.545004e+01 1.538935e+01
## Alcohol 0.0713293071 8.017846e-02 8.834170e-02
## Population 0.0000000000 0.000000e+00 0.000000e+00
## BMI 0.0508819771 5.169340e-02 5.226560e-02
## 0.5175 0.4715 0.4297
## (Intercept) 5.623802e+01 5.614429e+01 5.605915e+01
## Hepatitis.B 0.000000e+00 0.000000e+00 0.000000e+00
## Polio 2.518501e-02 2.577613e-02 2.631682e-02
## Diphtheria 3.034704e-02 3.094812e-02 3.150458e-02
## Adult.Mortality -1.942375e-02 -1.948415e-02 -1.954083e-02
## under.five.deaths -6.047442e-04 -8.099033e-04 -9.969554e-04
## HIV.AIDS -4.165491e-01 -4.229637e-01 -4.288026e-01
## percentage.expenditure 0.000000e+00 0.000000e+00 1.119594e-07
## GDP 4.690121e-05 4.864333e-05 5.022875e-05
## Income.composition.of.resources 1.532829e+01 1.527268e+01 1.522072e+01
## Alcohol 9.571601e-02 1.024357e-01 1.085394e-01
## Population 0.000000e+00 0.000000e+00 0.000000e+00
## BMI 5.277193e-02 5.323365e-02 5.365286e-02
## 0.3915 0.3567 0.325
## (Intercept) 5.597826e+01 5.590539e+01 5.583825e+01
## Hepatitis.B 0.000000e+00 0.000000e+00 0.000000e+00
## Polio 2.682636e-02 2.727716e-02 2.770491e-02
## Diphtheria 3.200655e-02 3.246301e-02 3.288805e-02
## Adult.Mortality -1.958980e-02 -1.963534e-02 -1.967741e-02
## under.five.deaths -1.167286e-03 -1.323071e-03 -1.464530e-03
## HIV.AIDS -4.341419e-01 -4.390101e-01 -4.434375e-01
## percentage.expenditure 1.322985e-05 2.545688e-05 3.688165e-05
## GDP 4.987928e-05 4.952912e-05 4.917693e-05
## Income.composition.of.resources 1.518045e+01 1.514496e+01 1.511039e+01
## Alcohol 1.138084e-01 1.186122e-01 1.229568e-01
## Population 0.000000e+00 0.000000e+00 0.000000e+00
## BMI 5.407518e-02 5.445460e-02 5.480577e-02
## 0.2961 0.2698 0.2459
## (Intercept) 5.577706e+01 5.572131e+01 5.567051e+01
## Hepatitis.B 0.000000e+00 0.000000e+00 0.000000e+00
## Polio 2.809392e-02 2.844841e-02 2.877142e-02
## Diphtheria 3.327559e-02 3.362875e-02 3.395053e-02
## Adult.Mortality -1.971569e-02 -1.975057e-02 -1.978236e-02
## under.five.deaths -1.593426e-03 -1.710872e-03 -1.817885e-03
## HIV.AIDS -4.474719e-01 -4.511479e-01 -4.544974e-01
## percentage.expenditure 4.735595e-05 5.692272e-05 6.564751e-05
## GDP 4.884713e-05 4.854349e-05 4.826575e-05
## Income.composition.of.resources 1.507898e+01 1.505037e+01 1.502430e+01
## Alcohol 1.269140e-01 1.305190e-01 1.338036e-01
## Population 0.000000e+00 0.000000e+00 0.000000e+00
## BMI 5.512591e-02 5.541767e-02 5.568354e-02
## 0.224 0.2041 0.186
## (Intercept) 5.562422e+01 5.558204e+01 5.554361e+01
## Hepatitis.B 0.000000e+00 0.000000e+00 0.000000e+00
## Polio 2.906574e-02 2.933391e-02 2.957826e-02
## Diphtheria 3.424374e-02 3.451090e-02 3.475433e-02
## Adult.Mortality -1.981132e-02 -1.983771e-02 -1.986175e-02
## under.five.deaths -1.915391e-03 -2.004235e-03 -2.085187e-03
## HIV.AIDS -4.575493e-01 -4.603301e-01 -4.628639e-01
## percentage.expenditure 7.359994e-05 8.084684e-05 8.745027e-05
## GDP 4.801231e-05 4.778125e-05 4.757068e-05
## Income.composition.of.resources 1.500055e+01 1.497891e+01 1.495919e+01
## Alcohol 1.367963e-01 1.395231e-01 1.420076e-01
## Population 0.000000e+00 0.000000e+00 0.000000e+00
## BMI 5.592579e-02 5.614652e-02 5.634764e-02
## 0.1695 0.1544 0.1407
## (Intercept) 5.550859e+01 5.547669e+01 5.544761e+01
## Hepatitis.B 0.000000e+00 0.000000e+00 0.000000e+00
## Polio 2.980091e-02 3.000377e-02 3.018862e-02
## Diphtheria 3.497613e-02 3.517822e-02 3.536237e-02
## Adult.Mortality -1.988366e-02 -1.990362e-02 -1.992181e-02
## under.five.deaths -2.158947e-03 -2.226154e-03 -2.287390e-03
## HIV.AIDS -4.651726e-01 -4.672761e-01 -4.691928e-01
## percentage.expenditure 9.346718e-05 9.894960e-05 1.039450e-04
## GDP 4.737880e-05 4.720396e-05 4.704465e-05
## Income.composition.of.resources 1.494123e+01 1.492486e+01 1.490994e+01
## Alcohol 1.442714e-01 1.463342e-01 1.482136e-01
## Population 0.000000e+00 0.000000e+00 0.000000e+00
## BMI 5.653090e-02 5.669788e-02 5.685002e-02
## 0.1282 0.1168 0.1064
## (Intercept) 55.4211250082 5.539808e+01 5.537595e+01
## Hepatitis.B 0.0000000000 0.000000e+00 0.000000e+00
## Polio 0.0303570395 3.049785e-02 3.063977e-02
## Diphtheria 0.0355301506 3.568119e-02 3.581999e-02
## Adult.Mortality -0.0199383795 -1.995525e-02 -1.996878e-02
## under.five.deaths -0.0023431871 -2.394725e-03 -2.440956e-03
## HIV.AIDS -0.4709392555 -4.725281e-01 -4.739780e-01
## percentage.expenditure 0.0001084966 1.125951e-04 1.163405e-04
## GDP 0.0000468995 4.677963e-05 4.666217e-05
## Income.composition.of.resources 14.8963516238 1.488497e+01 1.487357e+01
## Alcohol 0.1499261215 1.514988e-01 1.529209e-01
## Population 0.0000000000 0.000000e+00 0.000000e+00
## BMI 0.0569886504 5.710685e-02 5.722287e-02
## 0.097 0.0884 0.0805
## (Intercept) 5.535583e+01 5.534053e+01 5.532946e+01
## Hepatitis.B 0.000000e+00 0.000000e+00 0.000000e+00
## Polio 3.076811e-02 3.089254e-02 3.098055e-02
## Diphtheria 3.594711e-02 3.605814e-02 3.613134e-02
## Adult.Mortality -1.998118e-02 -1.999268e-02 -2.000292e-02
## under.five.deaths -2.483111e-03 -2.568755e-03 -2.662398e-03
## HIV.AIDS -4.752993e-01 -4.764472e-01 -4.775025e-01
## percentage.expenditure 1.197784e-04 1.232981e-04 1.261113e-04
## GDP 4.655276e-05 4.641252e-05 4.633994e-05
## Income.composition.of.resources 1.486320e+01 1.484689e+01 1.483473e+01
## Alcohol 1.542155e-01 1.554144e-01 1.565800e-01
## Population 0.000000e+00 2.566613e-10 5.590453e-10
## BMI 5.732833e-02 5.741760e-02 5.747821e-02
## 0.0734 0.0668 0.0609
## (Intercept) 5.531842e+01 5.530839e+01 5.529926e+01
## Hepatitis.B 0.000000e+00 0.000000e+00 0.000000e+00
## Polio 3.107638e-02 3.116272e-02 3.124139e-02
## Diphtheria 3.619939e-02 3.626190e-02 3.631884e-02
## Adult.Mortality -2.001106e-02 -2.001853e-02 -2.002532e-02
## under.five.deaths -2.747240e-03 -2.824592e-03 -2.895071e-03
## HIV.AIDS -4.784681e-01 -4.793481e-01 -4.801500e-01
## percentage.expenditure 1.287144e-04 1.310968e-04 1.332690e-04
## GDP 4.626866e-05 4.620310e-05 4.614310e-05
## Income.composition.of.resources 1.482236e+01 1.481112e+01 1.480087e+01
## Alcohol 1.576268e-01 1.585801e-01 1.594486e-01
## Population 8.344971e-10 1.085535e-09 1.314268e-09
## BMI 5.753932e-02 5.759472e-02 5.764523e-02
## 0.0555 0.0506 0.0461
## (Intercept) 5.529094e+01 5.528336e+01 5.527645e+01
## Hepatitis.B 0.000000e+00 0.000000e+00 0.000000e+00
## Polio 3.131307e-02 3.137839e-02 3.143790e-02
## Diphtheria 3.637073e-02 3.641801e-02 3.646109e-02
## Adult.Mortality -2.003151e-02 -2.003715e-02 -2.004229e-02
## under.five.deaths -2.959289e-03 -3.017801e-03 -3.071116e-03
## HIV.AIDS -4.808806e-01 -4.815463e-01 -4.821529e-01
## percentage.expenditure 1.352492e-04 1.370539e-04 1.386984e-04
## GDP 4.608830e-05 4.603833e-05 4.599277e-05
## Income.composition.of.resources 1.479154e+01 1.478304e+01 1.477529e+01
## Alcohol 1.602400e-01 1.609611e-01 1.616181e-01
## Population 1.522682e-09 1.712580e-09 1.885609e-09
## BMI 5.769125e-02 5.773318e-02 5.777139e-02
## 0.042 0.0382 0.0349
## (Intercept) 5.527015e+01 5.526442e+01 5.525913e+01
## Hepatitis.B 0.000000e+00 0.000000e+00 1.203998e-05
## Polio 3.149213e-02 3.154154e-02 3.157932e-02
## Diphtheria 3.650034e-02 3.653611e-02 3.656502e-02
## Adult.Mortality -2.004697e-02 -2.005124e-02 -2.005519e-02
## under.five.deaths -3.119694e-03 -3.163957e-03 -3.204112e-03
## HIV.AIDS -4.827056e-01 -4.832092e-01 -4.836669e-01
## percentage.expenditure 1.401969e-04 1.415622e-04 1.428219e-04
## GDP 4.595125e-05 4.591341e-05 4.587874e-05
## Income.composition.of.resources 1.476823e+01 1.476180e+01 1.475596e+01
## Alcohol 1.622167e-01 1.627621e-01 1.632618e-01
## Population 2.043266e-09 2.186917e-09 2.317949e-09
## BMI 5.780621e-02 5.783793e-02 5.786652e-02
## 0.0318 0.0289 0.0264
## (Intercept) 5.525303e+01 5.524777e+01 5.524295e+01
## Hepatitis.B 8.371508e-05 1.441677e-04 1.993493e-04
## Polio 3.161077e-02 3.163643e-02 3.165938e-02
## Diphtheria 3.655515e-02 3.654858e-02 3.654274e-02
## Adult.Mortality -2.006024e-02 -2.006353e-02 -2.006641e-02
## under.five.deaths -3.238169e-03 -3.270812e-03 -3.300587e-03
## HIV.AIDS -4.840565e-01 -4.844300e-01 -4.847711e-01
## percentage.expenditure 1.440212e-04 1.451630e-04 1.462097e-04
## GDP 4.584261e-05 4.580720e-05 4.577410e-05
## Income.composition.of.resources 1.475057e+01 1.474551e+01 1.474093e+01
## Alcohol 1.637309e-01 1.641585e-01 1.645479e-01
## Population 2.435569e-09 2.545184e-09 2.645119e-09
## BMI 5.788913e-02 5.791096e-02 5.793097e-02
## 0.024 0.0219 0.0199
## (Intercept) 5.523856e+01 5.523456e+01 5.523091e+01
## Hepatitis.B 2.496932e-04 2.955774e-04 3.373908e-04
## Polio 3.168029e-02 3.169936e-02 3.171673e-02
## Diphtheria 3.653739e-02 3.653251e-02 3.652806e-02
## Adult.Mortality -2.006903e-02 -2.007142e-02 -2.007360e-02
## under.five.deaths -3.327716e-03 -3.352434e-03 -3.374956e-03
## HIV.AIDS -4.850819e-01 -4.853651e-01 -4.856231e-01
## percentage.expenditure 1.471669e-04 1.480410e-04 1.488385e-04
## GDP 4.574344e-05 4.571525e-05 4.568943e-05
## Income.composition.of.resources 1.473675e+01 1.473295e+01 1.472949e+01
## Alcohol 1.649026e-01 1.652258e-01 1.655202e-01
## Population 2.736176e-09 2.819144e-09 2.894741e-09
## BMI 5.794923e-02 5.796586e-02 5.798103e-02
## 0.0182 0.0166 0.0151
## (Intercept) 5.522759e+01 5.522456e+01 5.522181e+01
## Hepatitis.B 3.754927e-04 4.102115e-04 4.418468e-04
## Polio 3.173256e-02 3.174698e-02 3.176013e-02
## Diphtheria 3.652400e-02 3.652030e-02 3.651693e-02
## Adult.Mortality -2.007559e-02 -2.007739e-02 -2.007904e-02
## under.five.deaths -3.395477e-03 -3.414176e-03 -3.431213e-03
## HIV.AIDS -4.858582e-01 -4.860724e-01 -4.862676e-01
## percentage.expenditure 1.495657e-04 1.502285e-04 1.508327e-04
## GDP 4.566582e-05 4.564428e-05 4.562462e-05
## Income.composition.of.resources 1.472633e+01 1.472346e+01 1.472084e+01
## Alcohol 1.657884e-01 1.660328e-01 1.662555e-01
## Population 2.963623e-09 3.026385e-09 3.083572e-09
## BMI 5.799484e-02 5.800743e-02 5.801890e-02
## 0.0137 0.0125 0.0114
## (Intercept) 5.521929e+01 5.521700e+01 5.521492e+01
## Hepatitis.B 4.706722e-04 4.969371e-04 5.208689e-04
## Polio 3.177210e-02 3.178301e-02 3.179296e-02
## Diphtheria 3.651386e-02 3.651107e-02 3.650852e-02
## Adult.Mortality -2.008054e-02 -2.008191e-02 -2.008315e-02
## under.five.deaths -3.446737e-03 -3.460881e-03 -3.473769e-03
## HIV.AIDS -4.864454e-01 -4.866075e-01 -4.867551e-01
## percentage.expenditure 1.513832e-04 1.518849e-04 1.523420e-04
## GDP 4.560671e-05 4.559037e-05 4.557549e-05
## Income.composition.of.resources 1.471845e+01 1.471628e+01 1.471430e+01
## Alcohol 1.664584e-01 1.666433e-01 1.668118e-01
## Population 3.135679e-09 3.183157e-09 3.226416e-09
## BMI 5.802936e-02 5.803888e-02 5.804756e-02
## 0.0104 0.0095 0.0086
## (Intercept) 5.521264e+01 5.521099e+01 5.520946e+01
## Hepatitis.B 5.443420e-04 5.631003e-04 5.809769e-04
## Polio 3.180474e-02 3.181239e-02 3.181935e-02
## Diphtheria 3.650769e-02 3.650641e-02 3.650456e-02
## Adult.Mortality -2.008543e-02 -2.008659e-02 -2.008745e-02
## under.five.deaths -3.483821e-03 -3.494537e-03 -3.504427e-03
## HIV.AIDS -4.868744e-01 -4.869962e-01 -4.871092e-01
## percentage.expenditure 1.527312e-04 1.531026e-04 1.534472e-04
## GDP 4.556374e-05 4.555203e-05 4.554108e-05
## Income.composition.of.resources 1.471267e+01 1.471102e+01 1.470951e+01
## Alcohol 1.669592e-01 1.670996e-01 1.672277e-01
## Population 3.263167e-09 3.299048e-09 3.331988e-09
## BMI 5.805416e-02 5.806135e-02 5.806803e-02
## 0.0079 0.0072 0.0065
## (Intercept) 5.520805e+01 5.520676e+01 5.520558e+01
## Hepatitis.B 5.974536e-04 6.124702e-04 6.261403e-04
## Polio 3.182594e-02 3.183204e-02 3.183763e-02
## Diphtheria 3.650264e-02 3.650084e-02 3.649920e-02
## Adult.Mortality -2.008821e-02 -2.008889e-02 -2.008952e-02
## under.five.deaths -3.513446e-03 -3.521664e-03 -3.529152e-03
## HIV.AIDS -4.872122e-01 -4.873062e-01 -4.873917e-01
## percentage.expenditure 1.537630e-04 1.540517e-04 1.543153e-04
## GDP 4.553091e-05 4.552153e-05 4.551290e-05
## Income.composition.of.resources 1.470813e+01 1.470687e+01 1.470572e+01
## Alcohol 1.673444e-01 1.674506e-01 1.675474e-01
## Population 3.362024e-09 3.389393e-09 3.414331e-09
## BMI 5.807412e-02 5.807967e-02 5.808472e-02
## 0.006 0.0054 0.0049
## (Intercept) 5.520345e+01 5.520355e+01 5.520180e+01
## Hepatitis.B 6.486724e-04 6.490704e-04 6.680068e-04
## Polio 3.184678e-02 3.184744e-02 3.185460e-02
## Diphtheria 3.649861e-02 3.649737e-02 3.649653e-02
## Adult.Mortality -2.009175e-02 -2.009095e-02 -2.009260e-02
## under.five.deaths -3.532452e-03 -3.541894e-03 -3.544851e-03
## HIV.AIDS -4.874494e-01 -4.875370e-01 -4.875874e-01
## percentage.expenditure 1.545270e-04 1.547622e-04 1.549435e-04
## GDP 4.550739e-05 4.549863e-05 4.549381e-05
## Income.composition.of.resources 1.470497e+01 1.470376e+01 1.470311e+01
## Alcohol 1.676187e-01 1.677154e-01 1.677751e-01
## Population 3.431849e-09 3.457228e-09 3.472135e-09
## BMI 5.808732e-02 5.809325e-02 5.809560e-02
## 0.0045 0.0041 0.0037
## (Intercept) 5.520089e+01 5.520024e+01 5.519967e+01
## Hepatitis.B 6.774846e-04 6.848276e-04 6.916145e-04
## Polio 3.185936e-02 3.186265e-02 3.186531e-02
## Diphtheria 3.649607e-02 3.649555e-02 3.649486e-02
## Adult.Mortality -2.009345e-02 -2.009392e-02 -2.009421e-02
## under.five.deaths -3.549473e-03 -3.554258e-03 -3.558786e-03
## HIV.AIDS -4.876406e-01 -4.876937e-01 -4.877438e-01
## percentage.expenditure 1.551141e-04 1.552743e-04 1.554242e-04
## GDP 4.548859e-05 4.548346e-05 4.547861e-05
## Income.composition.of.resources 1.470238e+01 1.470166e+01 1.470099e+01
## Alcohol 1.678402e-01 1.679020e-01 1.679587e-01
## Population 3.488448e-09 3.504177e-09 3.518789e-09
## BMI 5.809862e-02 5.810178e-02 5.810481e-02
## 0.0034 0.0031 0.0028
## (Intercept) 5.519914e+01 5.519865e+01 5.519820e+01
## Hepatitis.B 6.980285e-04 7.040152e-04 7.095341e-04
## Polio 3.186770e-02 3.186993e-02 3.187204e-02
## Diphtheria 3.649402e-02 3.649312e-02 3.649223e-02
## Adult.Mortality -2.009440e-02 -2.009455e-02 -2.009468e-02
## under.five.deaths -3.562960e-03 -3.566776e-03 -3.570255e-03
## HIV.AIDS -4.877902e-01 -4.878327e-01 -4.878715e-01
## percentage.expenditure 1.555630e-04 1.556906e-04 1.558075e-04
## GDP 4.547408e-05 4.546987e-05 4.546597e-05
## Income.composition.of.resources 1.470036e+01 1.469980e+01 1.469928e+01
## Alcohol 1.680104e-01 1.680575e-01 1.681004e-01
## Population 3.532193e-09 3.544433e-09 3.555595e-09
## BMI 5.810762e-02 5.811019e-02 5.811253e-02
## 0.0026 0.0023 0.0021
## (Intercept) 5.519779e+01 5.519741e+01 5.519706e+01
## Hepatitis.B 7.145843e-04 7.191891e-04 7.233821e-04
## Polio 3.187402e-02 3.187585e-02 3.187753e-02
## Diphtheria 3.649138e-02 3.649058e-02 3.648985e-02
## Adult.Mortality -2.009479e-02 -2.009489e-02 -2.009499e-02
## under.five.deaths -3.573426e-03 -3.576316e-03 -3.578949e-03
## HIV.AIDS -4.879068e-01 -4.879390e-01 -4.879684e-01
## percentage.expenditure 1.559145e-04 1.560123e-04 1.561017e-04
## GDP 4.546236e-05 4.545902e-05 4.545595e-05
## Income.composition.of.resources 1.469881e+01 1.469838e+01 1.469799e+01
## Alcohol 1.681395e-01 1.681751e-01 1.682075e-01
## Population 3.565767e-09 3.575036e-09 3.583482e-09
## BMI 5.811467e-02 5.811661e-02 5.811838e-02
## 0.0019 0.0018 0.0016
## (Intercept) 5.519675e+01 5.519646e+01 5.519620e+01
## Hepatitis.B 7.271993e-04 7.306750e-04 7.338407e-04
## Polio 3.187907e-02 3.188048e-02 3.188176e-02
## Diphtheria 3.648919e-02 3.648858e-02 3.648803e-02
## Adult.Mortality -2.009507e-02 -2.009515e-02 -2.009522e-02
## under.five.deaths -3.581348e-03 -3.583534e-03 -3.585526e-03
## HIV.AIDS -4.879952e-01 -4.880195e-01 -4.880417e-01
## percentage.expenditure 1.561834e-04 1.562580e-04 1.563260e-04
## GDP 4.545313e-05 4.545053e-05 4.544814e-05
## Income.composition.of.resources 1.469763e+01 1.469730e+01 1.469701e+01
## Alcohol 1.682370e-01 1.682639e-01 1.682884e-01
## Population 3.591178e-09 3.598190e-09 3.604580e-09
## BMI 5.812000e-02 5.812147e-02 5.812281e-02
## 0.0015 0.0013 0.0012
## (Intercept) 5.519596e+01 5.519574e+01 5.519554e+01
## Hepatitis.B 7.367247e-04 7.393525e-04 7.417471e-04
## Polio 3.188293e-02 3.188400e-02 3.188497e-02
## Diphtheria 3.648753e-02 3.648707e-02 3.648665e-02
## Adult.Mortality -2.009528e-02 -2.009534e-02 -2.009539e-02
## under.five.deaths -3.587341e-03 -3.588994e-03 -3.590501e-03
## HIV.AIDS -4.880620e-01 -4.880804e-01 -4.880972e-01
## percentage.expenditure 1.563882e-04 1.564449e-04 1.564966e-04
## GDP 4.544595e-05 4.544394e-05 4.544211e-05
## Income.composition.of.resources 1.469674e+01 1.469649e+01 1.469627e+01
## Alcohol 1.683107e-01 1.683311e-01 1.683496e-01
## Population 3.610401e-09 3.615706e-09 3.620539e-09
## BMI 5.812403e-02 5.812514e-02 5.812616e-02
## 0.0011 0.001 9e-04
## (Intercept) 5.519536e+01 5.519520e+01 5.519505e+01
## Hepatitis.B 7.439292e-04 7.459178e-04 7.477299e-04
## Polio 3.188585e-02 3.188666e-02 3.188739e-02
## Diphtheria 3.648627e-02 3.648593e-02 3.648561e-02
## Adult.Mortality -2.009544e-02 -2.009548e-02 -2.009552e-02
## under.five.deaths -3.591874e-03 -3.593125e-03 -3.594265e-03
## HIV.AIDS -4.881125e-01 -4.881265e-01 -4.881392e-01
## percentage.expenditure 1.565439e-04 1.565869e-04 1.566262e-04
## GDP 4.544042e-05 4.543888e-05 4.543748e-05
## Income.composition.of.resources 1.469606e+01 1.469588e+01 1.469571e+01
## Alcohol 1.683665e-01 1.683819e-01 1.683959e-01
## Population 3.624943e-09 3.628956e-09 3.632612e-09
## BMI 5.812708e-02 5.812792e-02 5.812869e-02
## 8e-04 8e-04 7e-04
## (Intercept) 5.519491e+01 5.519479e+01 5.519468e+01
## Hepatitis.B 7.493813e-04 7.508861e-04 7.522574e-04
## Polio 3.188806e-02 3.188867e-02 3.188923e-02
## Diphtheria 3.648533e-02 3.648506e-02 3.648483e-02
## Adult.Mortality -2.009556e-02 -2.009559e-02 -2.009562e-02
## under.five.deaths -3.595303e-03 -3.596250e-03 -3.597112e-03
## HIV.AIDS -4.881508e-01 -4.881613e-01 -4.881709e-01
## percentage.expenditure 1.566620e-04 1.566946e-04 1.567244e-04
## GDP 4.543619e-05 4.543501e-05 4.543394e-05
## Income.composition.of.resources 1.469555e+01 1.469541e+01 1.469529e+01
## Alcohol 1.684086e-01 1.684203e-01 1.684309e-01
## Population 3.635943e-09 3.638979e-09 3.641745e-09
## BMI 5.812939e-02 5.813003e-02 5.813061e-02#Find best lambda and coefficients
set.seed(123)
cv_fit <- cv.grpreg(X, y, groups = group_indices, penalty = "grLasso")
best_lambda <- cv_fit$lambda.min
best_coef <- coef(cv_fit, s = best_lambda)
best_lambda## [1] 0.01508596best_coef## (Intercept) Hepatitis.B
## 5.522181e+01 4.418468e-04
## Polio Diphtheria
## 3.176013e-02 3.651693e-02
## Adult.Mortality under.five.deaths
## -2.007904e-02 -3.431213e-03
## HIV.AIDS percentage.expenditure
## -4.862676e-01 1.508327e-04
## GDP Income.composition.of.resources
## 4.562462e-05 1.472084e+01
## Alcohol Population
## 1.662555e-01 3.083572e-09
## BMI
## 5.801890e-02